【影响因子】14.324
【主题类别】
--
【Abstract】The envisioned sixth-generation (6G) networks anticipate robust support for diverse applications, including massive machine-type communications, ultra-reliable low-latency communications, and enhanced mobile broadband. Intelligent Reflecting surface (IRS) have emerged as a key technology capable of intelligently reconfiguring wireless propagation environments, thereby enhancing overall network performance. Traditional optimization techniques face limitations in meeting the stringent performance requirements of 6G networks due to the intricate and dynamic nature of the wireless environment. Consequently, deep learning (DL) techniques are employed within the IRS framework to optimize wireless system performance. This article provides a comprehensive survey of the latest research in DL-aided IRS models, covering optimal beamforming, resource allocation control, channel estimation and prediction, signal detection, and system deployment. The focus is on presenting promising solutions within the constraints of different hardware configurations. The survey explores challenges, opportunities, and open research issues in DL-aided IRS, considering emerging technologies such as digital twins, computer vision, blockchain, network function virtualization, integrated sensing and communication, software-defined networking, mobile edge computing, unmanned aerial vehicles, and non-orthogonal multiple access. Practical design issues associated with these enabling technologies are also discussed, providing valuable insights into the current state and future directions of this evolving field.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】Intelligent reflecting surface; deep reinforcement learning; 6G; channel estimation; resource allocation; optimization
【发表时间】2025
【收录时间】2025-02-25
【文献类型】
【DOI】 10.1145/3696414
【影响因子】11.251
【主题类别】
--
【Abstract】Amid the booming E-commerce era, customers increasingly prioritize online purchases and product selection. This paper employs four models to investigate the dynamics between a low-carbon manufacturer (LCM) and an E-platform (EP) with blockchain technology (BT). From an economic perspective, the optimal sales model for LCM shifts from the agency selling model (AGSM) to the reselling model (RSM) as the commission rate increases. However, from the environmental perspective, the carbon emission reduction effort level is not always optimal in the AGSM without BT. In the BT situation, manufacturers are aiming to mitigate the cost pressures linked to carbon emissions reduction through the strategic approach of lowering commission rate thresholds. We find there is a beneficial range exists in the relationship between the LCM and the EP. Furthermore, as the sensitivity coefficient of consumers to negative online reviews decreases, the win-win interval increases when BT is employed, compared to scenarios without BT.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】Sale models; Blockchain technology; Low-carbon product; E -Platform; Online review
【发表时间】2025
【收录时间】2025-02-25
【文献类型】
【Author】 Xing, Peng Wang, Mingxing
【影响因子】11.072
【主题类别】
--
【Abstract】Recently, the rapid progress of the new energy vehicle (NEV) sector has resulted in a growing demand for power batteries. The urgency to find environmentally friendly and efficient methods for recycling retired power batteries has turned into a pressing issue. Therefore, this research proposes four multi-channel recycling models that encompass a battery supplier, a third-party recycler, and a NEV manufacturer. Among them, the battery supplier is subject to the government reward-penalty scheme and adopts blockchain to track information on power batteries. Recycled power batteries are either utilized in echelon utilization or dismantled for raw materials, depending on their varying capacity. We conduct a Stackelberg game analysis to examine the influence of blockchain adoption and government reward-penalty scheme on recycling channel selections, recycling rates, and social, economic, and environmental benefits. Through numerical analysis, the following key findings are obtained: (i) when the recycling price competition degree is relatively low and the sensitivity degree of consumers to the recycling price is relatively high, tripartite participation in recycling can achieve the highest recycling rate and social welfare. (ii) Within a certain range of reward-penalty intensity, the government rewardpenalty scheme can significantly augment recycling rates, and lowering the recycling rate target may increase supply chain members' profits. (iii) The efficacy of blockchain adoption enhances the battery supplier's willingness to participate in recycling and the decision to invest in blockchain, which yields ancillary advantages for the NEV manufacturer.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】Retired power batteries; Recycling channel selection; Blockchain; Government reward-penalty scheme; Echelon utilization
【发表时间】2025
【收录时间】2025-02-25
【文献类型】
【影响因子】10.294
【主题类别】
--
【Abstract】Web 3.0 introduces the concept of crypto-network entities, which are independently defined by public key pairs and connected to Web 3.0 cyberspace. In this paper, we present a spacetime coordinate system that is based on fractal polytopes in any dimension, utilizing blockchain technology for discrete time and consensus. Furthermore, we define novel network entities and functions that utilize hyperdimensional deterministic switching and routing protocols, as well as blockchain-enabled mutual authentication. In addition to our spacetime network architecture, we devise a multi-tier identity scheme that extends the native Web 3.0 crypto-network-entity to the outer cyber and physical world, including internet infrastructure and future generations of mobile networks, such as 6G. This provides legal compliance with anonymity and linkability to all derived identifiers of entities. By integrating crypto-network entities and novel hyperdimensional space-time networks, we establish a unified, holistic Web 3.0 network that is persistent in both spacetimes and extended to our cyber and physical world.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】Semantic Web; Blockchains; Fractals; IP networks; Peer-to-peer computing; Routing; Shape; Web 3.0; Fractal network; Decentralized infrastructure and identity; Blockchain; Polytope
【发表时间】2025
【收录时间】2025-02-25
【文献类型】
【影响因子】10.294
【主题类别】
--
【Abstract】The connected and autonomous systems (CAS) and auto-driving era is coming into our life. To support CAS applications such as AI-driven decision-making and blockchain-based smart data management platform, data and message exchange/dissemination is a fundamental element. The distributed message broadcast and forward protocols in CAS, such as vehicular ad hoc networks (VANET), can suffer from significant message loss and uncertain transmission delay, and faulty nodes might disseminate fake messages to confuse the network. Therefore, the consensus mechanism is essential in CAS with distributed structure to guarantee correct nodes agree on the same parameter and reach consistency. However, due to the wireless nature of CAS, traditional consensus cannot be directly deployed. In addition, with the development of intelligence in machines, traditional consensus might be inefficient for future CAS. This article reviews several existing consensus mechanisms, including average/maximum/minimum estimation consensus mechanisms that apply on quantity, Byzantine fault-tolerant consensus for request, state machine replication (SMR) and blockchain, as well as their implementations in CAS. To deploy wireless-adapted consensus, we propose a Directed Acyclic Graph (DAG)-based message structure to build a non-equivocation data dissemination protocol for CAS, which has resilience against message loss and unpredictable forwarding latency, and has the potential to solve the first step of future intelligent consensus. Finally, we enhance this protocol by developing a two-dimension DAG-based strategy to achieve partial order for blockchain and total order for the distributed service model SMR, to show its potential of integrating into different consensus protocols.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】Wireless communication; Consensus protocol; Reliability; Fault tolerant systems; Fault tolerance; Wireless sensor networks; Vehicular ad hoc networks; Decision making; Data dissemination; Communication system security; Distributed systems; Connected Autonomous Systems (CAS); consensus; VANET; DAG; blockchain
【发表时间】2025
【收录时间】2025-02-25
【文献类型】
【Author】 Leung, Eric Ka Ho
【影响因子】10.047
【主题类别】
--
【Abstract】This study presents a novel framework called Total Fulfillment Management (TFM), which integrates inbound warehousing and outbound transportation operations into a unified system. TFM draws inspiration from the time-tested philosophies of Total Quality Management and JustIn-Time production, adapting these principles to the modern logistics context. This paper introduces the Fulfillment Synchronization Strategy (FSS) as the operational core of TFM, designed to optimize internal and external resources and improve operational efficiency through real-time data-driven, synchronized decision-making. Within the FSS, a total of nine synchronization practices are defined. Through the integration of emerging technologies like AI, machine learning, IoT, and blockchain, TFM offers a holistic system approach for businesses seeking to enhance their fulfillment operations. Key research avenues and use cases highlight the potential impact of TFM on the evolving logistics landscape.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】Total Fulfillment Management; Fulfillment Synchronization Strategy; Just-In-Time; Horizontal and vertical synchronization; Real-time decision-making; Artificial Intelligence; Machine learning integrations
【发表时间】2025
【收录时间】2025-02-25
【文献类型】
【影响因子】10.047
【主题类别】
--
【Abstract】It is well known that supply chains should leverage information sharing from stakeholders as a measure to drive business growth. However, the practice of information sharing for supply chain management has been fairly limited due to the high cost of meeting differential user needs, information-island from centralized storage, and inefficient information value capture. To address these concerns, we investigate a crypto-valuation mechanism of digital assets (DAs) inspired by a standard monopolistic screening model. Our model consists of a DAs provider with a unique cost structure of sharing DAs and users who experience participation costs. The DAs are digital replicas of physical assets (e.g., workforce, trucks, and cargo) in the supply chain. The provider produces DAs with maximum features (e.g., carbon emission, customer satisfaction, etc.) to give users differential feature access for set valuations (crypto-token payment). When the consumers experience participation costs, we find that the marginal sharing and participation costs determine the optimality of DAs versioning. By endogenizing the highest quality (or level of digitization), we find that an increase in the cost of delivering DAs results in every user getting access to fewer features. Interestingly, cost factors do not directly influence user coverage, i.e., costs do not determine who gets access to DAs. However, the provider's decision to absorb a portion of user participation cost can contract the user coverage. Overall, this study contributes a novel valuation mechanism to the literature on blockchain adoption for information sharing in the supply chain. It also offers insights and recommendations based on critical parameters to guide supply chains that leverage the mechanism for business growth.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】Supply Chain Information sharing; Digital Assets; Blockchain Technology; Internet of Things (IoT); Valuation Mechanism
【发表时间】2025
【收录时间】2025-02-25
【文献类型】
【Author】 Wang, Jying-Nan Liu, Hung-Chun Hsu, Yuan-Teng
【影响因子】9.848
【主题类别】
--
【Abstract】Yes! We use a novel repository of AI incidents and hazards (AIIH) provided by OECD.AI to measure the risks and harms of AI systems and investigate their effects on returns of both AIthemed and non-AI cryptocurrencies. Employing an augmented GJR-GARCH model, our results show that AIIH has no effect on returns of the two types of cryptocurrencies before the launch of ChatGPT-3.5; however, after ChatGPT's launch, AIIH has a negative impact on AI-themed cryptocurrency returns. Furthermore, AIIHs associated with OECD AI principles (i) transparency and explainability, (ii) robustness, security and safety, or (iii) accountability, negatively affect returns of AI-themed cryptocurrencies.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】AI incidents and hazards; OECD AI principle; AI-themed cryptocurrencies; ChatGPT; GJR-GARCH
【发表时间】2025
【收录时间】2025-02-25
【文献类型】
【Author】 Naifar, Nader
【影响因子】9.848
【主题类别】
--
【Abstract】The Ethereum Merge on September 15, 2022, was a significant milestone for the blockchain and cryptocurrency space. This paper investigates the impact of the Ethereum transition to Proof-ofStake on the interconnectedness among renewable energy investments, Fourth Industrial Revolution (4IR) assets, and tokens. The findings indicate a decrease in the connectedness among tokens post-merge, reflecting a divergence in their market behavior and a shift in the underlying drivers influencing their price dynamics. Moreover, the transition strengthened the integration between tokens and 4IR assets. Additionally, the interdependencies between tokens and renewable energy investments, such as biofuels and fuel cells, increased significantly, implying an improved perception of Ethereum as a more sustainable platform.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】Fourth industrial revolution; Renewable energy investments; Ethereum Merge; Decomposed connectedness; Partial connectedness
【发表时间】2025
【收录时间】2025-02-25
【文献类型】
【Author】 Naz, Sumera Shafiq, Aqsa Butt, Shariq Aziz Espitia, Gabriel Pineres Pamucar, Dragan Ijaz, Rabia
CCF-C
【影响因子】8.665
【主题类别】
--
【Abstract】Secure transactions to secure data from being changed, modified, or manipulated by intruders helps in the validation and transparency of multi-phase transactions. Blockchain systems (BCSs) provide secure transactions, reduce compliance costs, and speed up data transmission procedures. The research community to secure data or transactions has proposed many BCSs. However, the issue with the existing approaches is to take an appropriate decision regarding the intruder's activities. It is due to the variety of transactions and the uncertainty of the environment; decision makers faced a difficult task in selecting an appropriate BCS for secure transactions. Thus, an appropriate BCS is required for the implementation of the secure transaction system. In this study, we propose a novel decision approach utilizing the new 2-tuple linguistic q-rung picture fuzzy set (2TLq-RPFS) to select an appropriate BCS for reliable transactions. Thus, this work proposes a traditional multi-attributive border approximation area comparison (MABAC) model with the power weighted Hamy mean operator and power weighted dual Hamy mean operator. Finally, a realistic case study for selecting the revolutionary BCS is presented to demonstrate the feasibility and efficacy of the proposed approach. The results of a case study are presented in Subsection 6.1 employing the approach described in Section 5. Ethereum is the best BCS utilizing the 2TLq-RPFWHM operator and Multichain is the BCS utilizing the 2TLq-RPFWDHM operator. Variations in the final results show the robustness of aggregation operators because each operator emphasizes a different aspect of the data.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】2TLq-RPFS; Power weighted Hamy mean operator; Power weighted dual Hamy mean operator; MABAC method; BCSs
【发表时间】2025
【收录时间】2025-02-25
【文献类型】
【Author】 Rani, Pratibha Mishra, Arunodaya Raj Alshamrani, Ahmad M. Alrasheedi, Adel Fahad Tirkolaee, Erfan Babaee
CCF-C
【影响因子】7.802
【主题类别】
--
【Abstract】The emergence of blockchain technology (BT) has indicated a new era for the supply chain and logistics industries wherein uncertainty significantly affects the establishment of suitable blockchain platforms for logistics firms. Moreover, uncertainty widely occurs in such realistic situations. This study develops a hybrid picture fuzzy information-based framework for assessing and ranking the blockchain platforms in the logistics firm. The experts' significance values are obtained using a distance measure and a rank sum model-based process under the picture fuzzy set (PFS) context. A novel distance measure is offered for PFSs, and its effectiveness over previously developed measures is demonstrated. To estimate the criteria weights, an integrated weighting model is utilized, which is based on the criteria importance through inter-criteria correlation (CRITIC) method for objective weights and the ranking comparison (RANCOM) approach for subjective weights. Moreover, the picture fuzzy compromise ranking of alternatives from distance to ideal solution (CRADIS) approach is utilized to rank the alternatives. To illustrate the superiority and practicality of the model, it is applied to a case study of blockchain platform selection including six alternatives and thirteen criteria to assess and rank the BTs options based on PFSs. The findings demonstrate that "Microsoft (1.0)" emerges as the best choice with the highest compromise measure among a set of six blockchain platforms in the logistics firm. Finally, sensitivity and comparative analyses are conducted to test the robustness and superiority of the developed method.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】Blockchain technology; Logistics; Picture fuzzy sets; Distance measure; Aggregation operator; Compromise ranking of alternatives from; distance-to-ideal-solution
【发表时间】2025
【收录时间】2025-02-25
【文献类型】
【Author】 Yang, Xingyu Xu, Lei Zhu, Liehuang
【影响因子】7.307
【主题类别】
--
【Abstract】In traditional account-based cryptocurrency systems, maintaining the state of all accounts consumes significant storage space. To reduce storage costs, recently some studies propose to leverage vector commitment schemes to design stateless cryptocurrency systems. In such systems, validators only need to store a commitment to the state vector to validate transactions. However, to prove membership in the state vector, each user is required to locally maintain a position proof. This introduces a burden as users need to update their proofs every time the commitment value changes. Additionally, existing stateless systems often include users' account balances and transferred values in transactions explicitly, which compromises privacy. To address above issues, we propose a stateless cryptocurrency system based on a maintainable vector commitment scheme. In the proposed system, a bucketing technique is employed to simplify the proof update operations. And we leverage the homomorphic property of vector commitments to preserve the confidentiality of transactions. Furthermore, by constructing an anonymity set, transaction anonymity is ensured. To prevent adversaries from taking advantage of the anonymity, we design a predicate encryption-based regulation scheme. Through a series of simulations, we demonstrate that the proposed system is storage-efficient, with acceptable time overhead for privacy preservation and regulatory compliance.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】Stateless cryptocurrency; Vector commitment; Anonymous transaction; Confidential transaction; Transaction regulation
【发表时间】2025
【收录时间】2025-02-25
【文献类型】
【Author】 Lakhan, Abdullah Mohammed, Mazin Abed Al-Budair, Lilian Qasim Alwan Memon, Sajida Slany, Vlastimil Deveci, Muhammet Martinek, Radek
【影响因子】6.626
【主题类别】
--
【Abstract】With the development of edge-cutting technologies, digital agriculture farming, product selling, and purchasing have been increasing progressively. On the other hand, transparency in digital agricultural agrochemicals (pesticides or herbicides) substances of products needs to be monitored carefully between production and selling to customers in a transparent form. Recently, blockchain has emerged as a decentralized technology, which is the most potent decentralized technology. It connects many nodes and validates their data transparency during application sharing. Therefore, it is a motivation to use blockchain technology for digital agriculture applications to meet data transparency, security, and privacy requirements. In this paper, we present enhancing transparency and efficiency in blockchain harvest: empowering farmers and consumers through transparent trading in agricultural application tasks. The application tasks are a mixture of agricultural things (IoT) sensors, products, monitoring, fertilizers, transport tracking, farmers, consumers, and institutional data for processing in digital healthcare applications. Our objective is to process the agricultural tasks during production and trading in an immutable, transparent, secure, and private form. To meet constraints such as processing time, blockchain validation, access control, and cyber-attacks, we suggest enhancing transparency and efficiency in blockchain harvesting and empowering farmers and consumers to trade securely and transparently. In proposed blockchain agriculture, all nodes are heterogeneous and connected; therefore, to avoid any time failure, cyberattacks, or block failure, we establish them in a stable form. This paper presents the agriculture blockchain harvest multi-tasking scheduling (ABHMTS) algorithm methodology, which amalgamates different methods: smart contracts, local offloading, multi-tasking, and blockchain validation with malware detection in blocks during data transfer among other nodes. The experimental results in simulation show that ABHMTS improved the transparency of agricultural task data by 98% and executed them with the minimum processing time by 20%, and reduced the risk of resource failure and resource consumption by 10% with higher malware detection in the framework as compared to baseline approaches.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】Agrochemicals (pesticides or herbicides); Harvest; Agriculture; Blockchain; Internet of Agriculture Application; Scheduling; Transparency; Interoperable
【发表时间】2025
【收录时间】2025-02-25
【文献类型】
【影响因子】6.239
【主题类别】
--
【Abstract】Amidst the technological revolution, the convergence of Industrial Artificial Intelligence of Things (Industrial AIoT) signifies a profound transformation in industrial operations. Nonetheless, persistent concerns revolve around data privacy, security, and connectivity challenges. Drones emerge as pivotal aids for Industrial AIoTs, particularly in areas with limited connectivity. While Federated Learning (FL) and Meta-Learning (ML) address data privacy and adaptability, challenges like data heterogeneity, scarcity, model positioning, unauthorized data tampering, and cyber threats endure. To tackle these issues, this paper presents a Federated Meta-Learning (FML)-based secure data consolidation scheme, utilizing drones for data consolidation, especially in remote, poorly connected regions, followed by secure blockchain storage. It incorporates an Information Gain Ratio (IGR)-based feature selection method to manage data diversity, a two-phase authentication system merging XOR filtering and Chronological Nonce Authentication for entity validation, and secure model consolidation using Hampel filters and performance checks to validate model updates. A real-world proof of concept demonstrates superior performance compared to state-of-the-art literature.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】Drones; Artificial intelligence; Blockchains; Training; Servers; Internet of Things; Data models; Artificial Internet of Things; blockchain; drone; federated meta learning
【发表时间】2025
【收录时间】2025-02-25
【文献类型】
【DOI】 10.1109/TVT.2024.3456029
【Author】 Didouh, Ahmed Lopez, Anthony Bahadir Labiod, Houda El Hillali, Yassin Rivenq, Atika Al Faruque, Mohammad Abdullah
【影响因子】6.239
【主题类别】
--
【Abstract】Vehicular communications have become essential for functional and road safety purposes due to the development of vehicle fleets. However, these communications have made vehicles more vulnerable to cyber-attacks. The security of data exchanges in vehicular networks currently relies on a centralized architecture that is responsible for managing various security services such as authentication, confidentiality, non-repudiation, real-time misbehavior detection, certificate management and revocation. However, this centralized approach can be challenging and costly for authorities, and it may even weaken the network's overall security. In this paper, we propose a complementary solution that uses a decentralized security framework to help authorities better manage their network security by involving each vehicle in the overall security management. Our framework, TileChain, is blockchain based solution that use road information to manage the network's security dynamically. The architecture is designed to optimize any security service efficiently. To demonstrate the feasibility and performance of our proposed solution, we selected certificate revocation as a critical service and performed simulations using real vehicle traffic data provided by The French road operator DIR Nord. Our Smart Contract achieved an accuracy of 81.3% in misbehavior detection, leading to certificate revocation. Furthermore, the computation load for security management by authorities potentially reduced by a factor of 96.8%. In summary, our proposed solution, TileChain, offers a promising decentralized approach for managing vehicular network security that can potentially improve the overall security of the network while reducing the computational burden on authorities.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】Security; Vehicle-to-everything; Roads; Computer architecture; Blockchains; Smart contracts; Security management; Blockchain; cyber-physical system security; proof of location; security service management
【发表时间】2025
【收录时间】2025-02-25
【文献类型】
【DOI】 10.1109/TVT.2024.3358784
【影响因子】6.143
【主题类别】
--
【Abstract】Our study investigates the interconnectedness and spillover effects among cryptocurrencies, NonFungible Tokens (NFTs), and Decentralized Finance (DeFi) assets during crises, both endogenous like the Terra Luna and FTX crashes, and exogenous like the Covid-19 pandemic and the RussiaUkraine Military conflict. Utilizing a Quantile Vector Autoregression (QVAR) methodology, we analyze the relationships among these variables, emphasizing the dynamics between cryptocurrencies, NFTs, and DeFi assets. Our analysis explores the presence of spillover effects leading up to and during these crises. Notably, during the COVID-19 pandemic, Binance Coin (BNB), Ethereum, and Bitcoin acted as net transmitters, whereas DeFi and NFT-related cryptocurrencies served as vulnerable net receivers. Conversely, in the Russia-Ukraine conflict, LINK, FTX, and Theta transitioned from transmitters to net receivers. In the Terra Luna crash, LINK remained a primary net receiver. During the FTX crash, FTX, Binance Coin (BNB), Maker (MKR), LINK, and Synthetix (SNX) consistently operated as major net receivers. These findings offer valuable insights for stakeholders, including investors, portfolio managers, and policymakers, shedding light on the evolving dynamics and interconnectedness of digital assets in crisis settings. Understanding these dynamics is crucial for informed risk management and the development of effective investment strategies.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】Cryptocurrencies; NFTs; DeFi; Endogenous and Exogenous Crises
【发表时间】2025
【收录时间】2025-02-25
【文献类型】
【影响因子】5.675
【主题类别】
--
【Abstract】The electricity sector is increasingly characterized by the use of Information Technology (IT) for the electricity grid, leading to its transformation into a smart grid. Various pilot smart grid initiatives exist, which have already showcased their technical feasibility. Nevertheless, for the needs of informed decision-making, a subsequent valuation support of those initiatives for all involved stakeholders is also essential. Considering the importance and complexity of such a valuation, the authors propose a MOdel-based, multi-perspectiVe method for the valuation of INitiatives in the smart Grid (MOVING). MOVING complements well-established smart grid valuation methods with conceptual modeling, to cater for a systematic analysis of actor goals, value exchanges, and IT. They illustrate the MOVING method with a well-documented smart grid initiative called NRGcoin, which is a blockchain-based incentive mechanism to encourage local production and consumption of renewable electricity.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】Model-driven analysis; Valuation; Smart grid; Informed-decision making
【发表时间】2025
【收录时间】2025-02-25
【文献类型】
【影响因子】5.181
【主题类别】
--
【Abstract】PurposeThis study aims to explore blockchain potential for digital marketing (BlkChn-Mk-KAP) by developing and validating a measurement model for assessing the constructs of knowledge, attitude and practice (KAP) related to blockchain technology in digital marketing.Design/methodology/approachA four-study process was used. The first study reviewed the literature to develop a pool of possible measurement items. Using exploratory factor analysis and reliability assessments, Study 2 (n = 162) investigated the dimensionality of the items developed in Study 1. The factorial structure from Study 2 was validated in Study 3 (n = 204), and the measurement model invariance was assessed using covariance-based structural equation modelling (CB-SEM). Finally, in Study 4 (n = 203), the predictive validity of the BlkChn-Mk-KAP was tested using a CB-SEM approach, testing its constructs correlations with the perceived usefulness of blockchain for digital marketing.FindingsThe findings indicate that the BlkChn-Mk-KAP measurement model comprises three-dimensional multi-item scales: knowledge, attitude and practice.Research limitations/implicationsThis study introduces a promising BlkChn-Mk-KAP model to examine blockchain's role in digital marketing. The authors acknowledge the sampling limitation in this research. To enhance the generalisability of the findings, future research should expand to different groups, including generation, gender and age. In addition, further exploration of the explicit links between blockchain knowledge, attitudes and subsequent digital marketing performance is warranted.Practical implicationsEducating employees about blockchain technology's unique features can shape favourable attitudes and stimulate the utilisation of blockchain-enabled technologies in digital marketing practice. BlkChn-Mk-KAP can offer a reliable and valid instrument to benchmark marketers' KAP of blockchain-powered digital marketing as they implement blockchain technology to gain a competitive advantage.Social implicationsThis study helps to adopt sustainable practices ensuring the wellbeing of the key stakeholders.Originality/valueThis research introduces the first validated conceptualisation and measurement model, BlkChn-Mk-KAP, to evaluate blockchain KAPs among digital marketing professionals.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】BlkChn-Mk-KAP; Blockchain; KAP model; Digital marketing; Knowledge; Attitude; Practice; Digital marketing professionals
【发表时间】2025
【收录时间】2025-02-25
【文献类型】
【DOI】 10.1108/EJM-12-2023-0911
【Author】 Liang, Xueping Xu, Yilin
CCF-B
【影响因子】5.105
【主题类别】
--
【Abstract】The rise in security threats faced by organizations has resulted in increased attention towards cloud adoption in organizations and cloud security research. To address these concerns, it is crucial to establish trust between application users and cloud services by exploring the gap of cloud security challenges and opportunities in the cybersecurity context. Due to the growing interest in this topic, a comprehensive and updated review of existing literature is much needed. This paper thoroughly examines the current landscape of cloud security, grounded in an extensive systematic literature review of 1,324 research papers, through the lens of a Design Science Research artifact typology rooted in the Information Systems domain. The paper makes significant technological contributions to the field of cloud security, by categorizing findings into four artifact types: constructs, models, methods, and instantiations. These categories are examined across multiple levels of cloud architecture, including data management, identity and access, application and software, host and virtualization, as well as privacy, trust, and compliance. The proposed research framework is adopted to further analyze the challenges that organizations face in securing their cloud-based systems against threats such as data breaches, unauthorized access, and cyberattacks. In addition, the review explores the potential opportunities for enhancing cloud security through the integration of advanced technologies such as blockchain, zero trust, multi-cloud architecture, machine learning and artificial intelligence, in various domains such as healthcare, IoT, and smart cities. By providing a critical analysis of the current state of cloud security, this review paper offers valuable insights into the challenges and opportunities associated with securing cloud-based systems in the cybersecurity era.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】Cloud security; Design science research; Cybersecurity; Framework; Challenges; Cyberattacks; Opportunities; Digital transformation
【发表时间】2025
【收录时间】2025-02-25
【文献类型】
【Author】 Rennie, Ellie Potts, Jason Tan, Joshua
【影响因子】5.054
【主题类别】
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【Abstract】Validators perform services on blockchain networks, from which they earn rents. Groups of validators, however, have power over blockchain networks, which requires politics to control. This paper reports on a multiyear ethnography of the Validator Commons as an attempt to build a political system for validator governance. This study of the politics of a natively digital economy offers a rare contemporary insight into a critical phase of economic development, previously only reconstructed from economic history, as the institutional transition from a Limited Access Order to an Open Access Order [North, D. C., Wallis, J. J., & Weingast, B. R. (2009). Violence and social orders: A conceptual framework for interpreting recorded human history. Cambridge University Press. http://ebookcentral.proquest.com/lib/rmit/detail.action?docID = 431994]. We find indications that blockchains may transition to the latter through impersonal rules that constrain the power of elites in blockchain governance processes.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】Blockchain governance; institutions; security; ethnography; polycentricity
【发表时间】2025
【收录时间】2025-02-25
【文献类型】
【Author】 Li, Yu Lu, Yueheng Yang, Xinyu Xu, Wenjian Peng, Zhe
CCF-C
【影响因子】5.047
【主题类别】
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【Abstract】As the next generation of the world wide web, web 3.0 is envisioned as a decentralized internet which improves data security and self-sovereign identity. The mobile web 3.0 mainly focuses on decentralized internet for mobile users and mobile applications. With the rapid development of mobile crowdsourcing research, existing mobile crowdsourcing models can achieve efficient allocation of tasks and responders. Benefiting from the inherent decentralization and immutability, more and more crowdsourcing models over mobile web 3.0 have been deployed on blockchain systems to enhance data verifiability. However, executing these crowdsourcingoriented smart contracts on a blockchain may incur a large amount of gas consumption, leading to significant costs for the system and increasing users' expenses. In addition, the existing crowdsourcing model does not take into account the expected quality of task completion in the matching link between tasks and responders, which will cause some tasks to fail to achieve effects and damage the interests of task publishers. In order to solve these problems, this paper proposes a decentralized multi-skill mobile crowdsourcing model with guaranteed task quality and gas optimization (DMCQG), which performs task matching while considering skill coverage and expected quality of task completion, and guarantees the final completion quality of each task. In addition, DMCQG also optimizes the gas value consumed by smart contracts at the code level, reducing the cost of crowdsourcing task participation. In order to verify whether DMCQG is effective, we deployed the model on the Ethereum platform for testing. Through inspection, it was proved that the final expected quality of the tasks matched by DMCQG was better than other models. And it is verified that after optimization, the gas consumption of DMCQG is significantly reduced.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】Blockchain; Smart contract; Mobile crowdsourcing; Web 3.0
【发表时间】2025
【收录时间】2025-02-25
【文献类型】
【Author】 Haq, Upama Nasrin Khan, Md. Mashiur Rahman Khan, Adnan Maroof Hasanuzzaman, Md. Hossain, Md. Riaz
【影响因子】4.420
【主题类别】
--
【Abstract】A comprehensive picture on global initiatives to Industry 4.0 (I4.0), technological evolution within fibre-to-apparel manufacturing and its progression so far are reported here. Germany is the global progression leader while other developed countries; France, Italy, Spain, Portugal, and even the UK and USA have generic initiatives for upgraded manufacturing. Their initiatives are I4.0 strategies, funding, platforms, and model projects. Developing countries like Indonesia, Malaysia, Thailand, Brazil, Turkey, Vietnam, India, etc. have also taken I4.0 national initiatives. However, the apparel and textile manufacturing industry lags far behind other sectors, although applying I4.0 technologies in this sector has started. CPS, IOT, Cloud computing, Automatic bobbin changing, RFID, Blockchain, augmented reality, and digital twins, are found in the textile production and fashion retailing. Moreover, advanced machineries offer incorporated automation, remote maintenance and operability, cloud systems, self-optimization, and predictive maintenance facilities. The review identifies that technological gaps between concept and reality hinder commercial application. The readiness evaluation is predominantly grounded in academic literature, which requires field investigation from the start to the end of textile processing. Hence, case studies for empirical data, sustainability mapping for the upgraded technologies and integrated policy development are the future direction in this domain.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】Industry 4.0; technological progression; 4IR technologies; textile; apparel
【发表时间】2025
【收录时间】2025-02-25
【文献类型】
【影响因子】4.152
【主题类别】
--
【Abstract】Existing consensus protocols for blockchain technology have issues with high latency and complexity. Directed Acyclic Graph(DAG)-based Byzantine Fault Tolerance(BFT) solutions have become popular to address these issues, but they often trade off security or liveness. Many employ timing assumptions to circumvent these issues, but these are not always reliable in an adversarial setting. Recent studies have found that Byzantine Reliable Broadcast(BRB) protocol can achieve asset-transfer capabilities in a deterministic, full asynchronous mode. However, BRB cannot handle generalized applications like smart-contracts, which require a global total order. A new solution called BRAPTOR has been proposed and developed that addresses these issues. BRAPTOR is a hybrid system that combines the partial-order consensusless BRB with an efficient Byzantine total order broadcast consensus component. It decouples data dissemination from metadata ordering for scalable and high throughput results. Theoretical analysis with correctness proofs and evaluation show that BRAPTOR achieves instant asset-transfer, asynchronous liveness, optimal resilience, optimum communication complexity, constant time complexity and post quantum safety.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】BlockDAG; Cryptocurrency; Smart-contract; Byzantine Reliable Broadcast; Asynchronous total order broadcast
【发表时间】2024
【收录时间】2025-02-25
【文献类型】
【Author】 Fotiadis, Thomas Sakas, Damianos P. Papadopoulou, Alkistis E. Andreou, Artemis G. Reklitis, Dimitrios P. Giannakopoulos, Nikolaos T.
【影响因子】3.889
【主题类别】
--
【Abstract】Cultural organizations, such as museums, increasingly seek innovative ways to enhance their financial sustainability and attract diverse, global audiences. Implementing cryptocurrency payments and DeFi systems offers these institutions an opportunity to modernize their operations, streamline transactions, and boost digital marketing efforts, aligning with the growing demand for decentralized financial solutions. Using statistical analyses such as correlations and simple linear regression (SLR) models, combined with AnyLogic modeling, this study examines how integrating DeFi systems, including cryptocurrency payments, can improve the sustainable management of these institutions. The findings suggest that by adopting DeFi technologies, museums can enhance their digital marketing efficiency, increase engagement, and attract a broader audience. The analysis reveals that museums accepting cryptocurrency benefit from broader digital marketing factors, with referral and branded traffic significantly driving organic search, whereby paid social traffic correlates positively with paid strategies, and the authority score is largely influenced by organic traffic. In contrast, non-crypto museums rely more heavily on referral traffic and organic costs, with narrower marketing influences affecting their performance.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】digital marketing; cultural organizations; big data; DeFi; sustainable management; business modeling
【发表时间】2025
【收录时间】2025-02-25
【文献类型】
【DOI】 10.3390/su17020746
【影响因子】3.778
【主题类别】
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【Abstract】This article analyzes the calendar anomaly of the day of the week effect in the cryptocurrency market. Financial markets thrive on open marketplaces, faster communication and more information, making them more efficient. Higher efficiency would result in the disappearance of these calendar anomalies. We contribute by employing a novel asymmetric multifractal analysis of high-frequency returns during trading hours. Our findings revealed significant differences in the multifractal behavior of the hourly returns of the five leading cryptocurrencies. In particular, we observe a higher degree of multifractality on Thursdays. The Hurst exponent also showed statistically different values for the days of the week. Four of the five cryptocurrencies showed persistent behavior on Fridays and anti-persistent behavior on Tuesdays and Saturdays. These patterns offer potential for traders and investors to exploit, underscoring the practical value of this research.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】Multifractal analysis; Day of the week effect; Cryptocurrency; High frequency; Calendar anomalies; Market efficiency
【发表时间】2025
【收录时间】2025-02-25
【文献类型】
【Author】 Liang, Junyuan Yao, Peiyuan Chen, Wuhui Hong, Zicong Zhang, Jianting Cai, Ting Sun, Min Zheng, Zibin
CCF-A
【影响因子】3.757
【主题类别】
--
【Abstract】Sharding is a promising solution to scale blockchain by separating the system into multiple shards to process transactions in parallel. However, due to state separation and shard isolation, it is still challenging to efficiently support smart contracts on a blockchain sharding system where smart contracts can interact with each other, involving states maintained by multiple shards. Specifically, existing sharding systems adopt a costly multi-step collaboration mechanism to execute smart contracts, resulting in long latency and low throughput. This article proposes Sparrow, a blockchain sharding protocol achieving one-step execution for smart contracts. To break shard isolation, inspired by non-local hotspot data caching in traditional databases, we propose a new idea of inter-shard caching, allowing a shard to prefetch and cache frequently accessed contract states of other shards. The miner can thus use the inter-shard cache to pre-execute a pending transaction, retrieve all its contract invocations, and commit it to multiple shards in one step. Particularly, we first propose a speculative dispersal cache synchronisation mechanism for efficient and secure cache synchronization across shards in Byzantine environments. Then, we propose a multi-branch exploration mechanism to solve the rollback problem during the optimistic one-step execution of contract invocations with dependencies. We also present a series of conflict resolution mechanisms to decrease the rollback caused by inherent transaction conflicts. We implement prototypes for Sparrow and existing sharding systems, and the evaluation shows that Sparrow improves the throughput by 2.44x and reduces the transaction latency by 30% compared with the existing sharding systems.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】Throughput; Synchronization; Logic; Codes; Sun; Security; Prototypes; Blockchain; sharding; smart contracts; caching; sharding; smart contracts; caching
【发表时间】2025
【收录时间】2025-02-25
【文献类型】
【Author】 Skorupka, Agata
【影响因子】3.752
【主题类别】
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【Abstract】The study examines different graph-based methods of detecting anomalous activities on digital markets, proposing the most efficient way to increase market actors' protection and reduce information asymmetry. Anomalies are defined below as both bots and fraudulent users (who can be both bots and real people). Methods are compared against each other, and state-of-the-art results from the literature and a new algorithm is proposed. The goal is to find an efficient method suitable for threat detection, both in terms of predictive performance and computational efficiency. It should scale well and remain robust on the advancements of the newest technologies. The article utilized three publicly accessible graph-based datasets: one describing the Twitter social network (TwiBot-20) and two describing Bitcoin cryptocurrency markets (Bitcoin OTC and Bitcoin Alpha). In the former, an anomaly is defined as a bot, as opposed to a human user, whereas in the latter, an anomaly is a user who conducted a fraudulent transaction, which may (but does not have to) imply being a bot. The study proves that graph-based data is a better-performing predictor than text data. It compares different graph algorithms to extract feature sets for anomaly detection models. It states that methods based on nodes' statistics result in better model performance than state-of-the-art graph embeddings. They also yield a significant improvement in computational efficiency. This often means reducing the time by hours or enabling modeling on significantly larger graphs (usually not feasible in the case of embeddings). On that basis, the article proposes its own graph-based statistics algorithm. Furthermore, using embeddings requires two engineering choices: the type of embedding and its dimension. The research examines whether there are types of graph embeddings and dimensions that perform significantly better than others. The solution turned out to be dataset-specific and needed to be tailored on a case-by-case basis, adding even more engineering overhead to using embeddings (building a leaderboard of grid of embedding instances, where each of them takes hours to be generated). This, again, speaks in favor of the proposed algorithm based on nodes' statistics. The research proposes its own efficient algorithm, which makes this engineering overhead redundant.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】
【发表时间】2024
【收录时间】2025-02-25
【文献类型】
【Author】 Kwangmuang, Parama Somabut, Anucha Duangngern, Pornpisut Changpetch, Sukruetai Dhithjaroen, Chamas Techapornpong, Orawan Sarakan, Paritchaya Chaijaroen, Sumalee Samat, Charuni
【影响因子】3.666
【主题类别】
--
【Abstract】Despite the advancements in blockchain and FinTech, more research must be done on the strategies and processes used to develop curricula for advanced professions, particularly in collaboration with industry partners. This study investigates the methods and processes used to develop an online "Blockchain & FinTech" curriculum for youth aged 15-24. A mixed-method approach was employed, combining qualitative data from interviews with 6 industry professionals and 15 curriculum developers and quantitative data from pre- and post-course assessments of 100 learners. The findings reveal that close collaboration with industry experts, a comprehensive curriculum framework, engaging content, hands-on learning, continuous updating, and an accessible online platform were critical factors in the successful development and implementation of the curriculum. This study highlights the importance of industry-education partnerships, learner-centered design, and adaptability in creating high-quality online learning experiences, offering a model for future educational initiatives in rapidly evolving technological fields.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】Blockchain education; FinTech curriculum; Industry-entrepreneur collaboration; Critical thinking skills; Youth career readiness
【发表时间】2025
【收录时间】2025-02-25
【文献类型】
【影响因子】3.399
【主题类别】
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【Abstract】Using the TVP-VAR model, this study examines the connectedness between green cryptocurrencies and the individual components of the ESG (Environmental, Social, and Governance) stocks. Our sample period runs from November 10, 2017, to September 12, 2023. Our results indicate a moderate level of return and volatility transmission between green cryptocurrencies and ESG stocks. In line with theoretical argumentation, cryptocurrencies act as receivers of both return and volatility spillovers from the system, while stocks are the main transmitters. Our dynamic results show a substantial rise in total return and volatility connectedness of the system during the outset of the COVID-19 and Russia-Ukraine conflict, suggesting that global event amplifies the system connectedness. Moreover, the time-varying net results also exhibit a similar pattern, where the role of each asset changes during the turmoil period. Finally, our portfolio analysis suggests that green cryptocurrencies provide diversification to green stocks during both normal and turbulent periods. Additionally, they also emerge as effective hedges against ESG stocks across all market conditions. However, the hedge ratio increased during the COVID-19 pandemic, suggesting hedging becomes more expensive during turbulent periods. Our findings provide valuable insights for portfolio managers and policymakers regarding asset allocation, risk management, and the evolving dynamics between green cryptocurrencies and ESG stocks in an increasingly interconnected financial landscape.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】ESG stocks; Green cryptocurrencies; TVP-VAR; Portfolio diversification; COVID-19
【发表时间】2025
【收录时间】2025-02-25
【文献类型】
【影响因子】3.324
【主题类别】
--
【Abstract】Timely approvals and payments to the project participants are crucial for successful completion of construction projects. However, the construction industry faces persistent delays and non-payments to contractors. Despite the desirable benefits of automated payments and enhanced access to digitized data progress, most payment applications rely on centralized control mechanisms; inefficient procedures; and documentation that takes time to prepare, review, and approve. As such, there is a need for a reliable payment automation system that guarantees timely execution of payments upon the detection of completed works. Therefore, this study used a cutting-edge approach to automate construction payments by integrating blockchain-enabled smart contracts and scan-to-Building Information Modeling (BIM). In this approach, scan-to-BIM provides accurate, real-time building progress data, which serve as the source of verifiable off-chain data. A chain-link is then used to securely relay these data to the blockchain system. Blockchain-enabled smart contracts automate the execution of payments upon meeting contract conditions. The proposed approach was implemented on a real case study project. The actual site scan was captured using a photogrammetry 360 degrees camera, which uses a combination of structured light and infrared depth sensing technology to capture 3D data and create detailed 3D models of spaces. This study leveraged accurate, real-time building progress data to automate payments using blockchain-enabled smart contracts upon work completion, thus reducing payment disputes by tying payments to verifiable construction progress, leading to faster release of payments. The findings show that this approach provides a transparent basis for payment, enhancing trust and allowing precise project progress tracking.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】blockchain technology; smart contracts; Ethereum; scan-to-BIM; reality capture; digital technologies; construction industry
【发表时间】2025
【收录时间】2025-02-25
【文献类型】
【Author】 Matrouk, Khaled M. Rasappan, Punithavathi Bhutani, Priyanka Mittal, Shikha Nisha, A. Sahaya Anselin Konduru, Reddy Madhavi
【影响因子】3.310
【主题类别】
--
【Abstract】Internet of Things (IoT) devices is extensively employed to collect physiological health data and provide diverse services to end-users. Nevertheless, in recent applications, cloud computing-based IoT proves beneficial for standard data storage and ensuring high-security information sharing. Due to limitations in battery capacity, storage, and computing power, IoT devices are often considered resource-constrained. Consequently, data signing by IoT devices, aimed at ensuring data integrity and authentication, typically demands significant computational resources. Unsafe data storage and high latency are considered as the major issues in the IoT-based data storage mechanism for duplicating and misusing the information while it is stored in the cloud database. Hence, blockchain technologies are needed to provide high security over the stored data. Hence, the research aimed to implement an efficient blockchain-based data storage system in mobile edge computing, safeguarding data from unauthorized access. In this approach, it contains four layers that are cloud layer, the entity layer, the block-chain layer, and the edge computing layer. The user's data are stored in the optimal location in the entity layer, where the data storing location is find out using the proposed Hybrid Battle Royale with Archimedes Optimization Algorithm (HBRAOA). In the edge computing layer, an optimal key-based homomorphic encryption algorithm using Elliptic Curve Cryptography (ECC) is introduced to encrypt data with the most optimal key, ensuring secure storage. This encryption method leverages the same HBRAOA to enhance the efficiency. Next, the digital signature is demonstrated to give the authorization of the user, and it is distributed to the blockchain layer. Thus, the indexes of the shared data are stored in the blockchain layer to avoid fault tolerance and tamper-proofing. Finally, the cloud layer receives the valuable encrypted data, and the authenticated users with known encrypted keys are able to access the data by decrypting them. The result analysis shows that the performance of the developed model, which attains 27%, 98%, 35%, and 18% enhanced than Particle Swarm Optimization (PSO)-ECC, Black Widow Optimization (BWO)-ECC, Battle Royale Optimization (BRO)-ECC and Archimedes Optimization Algorithm (AOA)-ECC. The efficiency of the proposed blockchain-based mobile edge computing scheme with the optimization strategy is validated by conducting several similarity measures over the conventional methods.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】blockchain framework; energy efficient and secure data storage system; hybrid Battle Royale with Archimedes optimization algorithm; mobile edge computing; optimal elliptical curve cryptography; optimal location for data storing
【发表时间】2025
【收录时间】2025-02-25
【文献类型】
【DOI】 10.1002/ett.70057
【影响因子】3.252
【主题类别】
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【Abstract】Fintech prioritizes the progression of issues related to environmental conservation and the consequences of climate change. This study is among the first investigations exploring the relationship between fintech and sustainable energy. It presents potential financial models that might be developed to assist companies in remaining operational via the use of renewable and clean energy sources. We employ a bibliometric analysis as the statistical methodology to address the study topic. We extract bibliometric data from the Scopus database employing the Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA) approach, thereafter analyzing the data with the R statistical programming language and the bibliometric applications Biblioshiny and VOSviewer. The results of the research indicate that fintech companies are committed to achieving carbon neutrality and investing in strategies such as environmental, social, and corporate governance (ESG) which may help them reduce their carbon footprint and enhance their eco-efficiency. In contrast to the United Kingdom, which is frequently regarded as the world's preeminent financial center, Chinese fintech enterprises appear to demonstrate a more fervent dedication to the improvement of their ecological transition. However, the results, ultimately, emphasize the transition of fintech to an alternative paradigm, namely greentech. Greentech is a new fintech-dependent paradigm which will help cryptocurrencies and fintech reduce their environmental impact and promote carbon-neutral financial institutions via investment. Greentech aims to decarbonize the financial industry by investing in renewable resources and clean energy, therefore enhancing the sector's environmental sustainability.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】clean energy; greentech; carbon neutral; eco-efficiency policies; renewable energy
【发表时间】2025
【收录时间】2025-02-25
【文献类型】
【DOI】 10.3390/en18020291
【Author】 Iovane, Gerardo Amatore, Riccardo
【影响因子】2.838
【主题类别】
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【Abstract】In the context of data security, this work aims to present a novel solution that, rather than addressing the topic of endpoint security-which has already garnered significant attention within the international scientific community-offers a different perspective on the subject. In other words, the focus is not on device security but rather on the protection and security of the information contained within those devices. As we will see, the result is a next-generation decentralized infrastructure that simultaneously integrates two cognitive areas: data storage and its protection and security. In this context, an innovative Multiscale Relativistic Quantum (MuReQua) chain is considered to realize a novel decentralized and security solution for storing data. This engine is based on the principles of Quantum Mechanics, stochastic processes, and a new approach of decentralization for data storage focused on information security. The solution is broken down into four main components, considered four levels of security against attackers: (i) defocusing, (ii) fogging, (iii) puzzling, and (iv) crypto agility. The defocusing is realized thanks to a fragmentation of the contents and their distributions on different allocations, while the fogging is a component consisting of a solution of hybrid cyphering. Then, the puzzling is a unit of Information Fusion and Inverse Information Fusion, while the crypto agility component is a frontier component based on Quantum Computing, which gives a stochastic dynamic to the information and, in particular, to its data fragments. The data analytics show a very effective and robust solution, with executions time comparable with cloud technologies, but with a level of security that is a post quantum one. In the end, thanks to a specific application example, going beyond purely technical and technological aspects, this work introduces a new cognitive perspective regarding (i) the distinction between data and information, and (ii) the differentiation between the owner and the custodian of data.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】decentralization; quantum computing; blockchain; storage system; data protection; security
【发表时间】2025
【收录时间】2025-02-25
【文献类型】
【DOI】 10.3390/app15020759
【Author】 Gorski, Tomasz
【影响因子】2.838
【主题类别】
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【Abstract】Testing in the software development process is one of the crucial disciplines. The immutability of deployed smart contracts makes tests particularly important in their design and implementation. The objective is to minimize the costs of smart contract testing by reducing the number of test cases. The article presents the test suite reduction method for smart contracts, which exploits the knowledge of their design manner. In particular, the design of a mechanism for evaluating the list of verification rules controlling the execution of transactions was used. The proposed method defines a minimum set of test cases for smart contracts designed according to a specific design pattern. The test case reduction level was shown using analytical formulas enclosed in the paper. Compared to full coverage, the method reduces over 96% of test cases for a smart contract with at least eight verification rules. The performance tests were conducted and the analysis of the results was enclosed as well. Both the smart contract evaluation time and the test suite execution time are less than 0.01 of a millisecond. Besides, the method reduces the number of test data for smart contracts by over 79%. Therefore, the method can be especially useful in continuous software integration and delivery.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】blockchain; smart contract; test suite reduction; software design pattern; object-oriented programming; functional programming
【发表时间】2025
【收录时间】2025-02-25
【文献类型】
【DOI】 10.3390/app15020620
【Author】 Chen, Yanxia Li, Zhe Zhu, Rongxin
【影响因子】2.744
【主题类别】
--
【Abstract】Underwater Wireless Sensor Networks (UWSNs) are pivotal for advancing maritime capabilities. These networks predominantly utilize acoustic communication, characterized by an open and shared acoustic channel and energy-limited underwater nodes, which underscores the critical importance of node authentication and management. Blockchain technology, recognized for its security, confidentiality, and traceability, is particularly suitable for scenarios requiring secure data exchange. This paper proposes a blockchain-based collaborative node authentication model tailored for clustered networks in UWSNs to tackle the challenges posed by the open nature of acoustic channels and the constrained energy resources of underwater nodes. Autonomous Underwater Vehicles (AUVs) are deployed as blockchain nodes to aid cluster heads in identity verification, while all underwater acoustic nodes are integrated as lightweight blockchain nodes, thus ensuring uniform management and authentication. Furthermore, this study enhances existing clustering algorithms to prolong the operational lifespan of the network and introduces a group signature and authentication mechanism tailored to the unique conditions of underwater blockchain edge computing. This mechanism includes a robust two-round block verification scheme designed to secure the blockchain against potential consensus algorithm attacks. Comprehensive simulations are presented, validating the effectiveness of the proposed group signature solution in enhancing the security and sustainability of underwater clustered networks.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】underwater acoustic sensor networks; blockchain; clustering
【发表时间】2025
【收录时间】2025-02-25
【文献类型】
【DOI】 10.3390/jmse13010027
【影响因子】2.690
【主题类别】
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【Abstract】With the rapid development of in-vehicle communication technology, the Internet of Vehicles (IoV) is gradually becoming a core component of next-generation transportation networks. However, ensuring the activity and reliability of IoV nodes remains a critical challenge. The emergence of blockchain technology offers new solutions to the problem of node selection in IoV. Nevertheless, traditional blockchain networks may suffer from malicious nodes, which pose security threats and disrupt normal blockchain operations. To address the issues of low participation and security risks among IoV nodes, this paper proposes a federated learning (FL) scheme based on blockchain and reputation value changes. This scheme encourages active involvement in blockchain consensus and facilitates the selection of trustworthy and reliable IoV nodes. First, we avoid conflicts between computing power for training and consensus by constructing state-channel transitions to move training tasks off-chain. Task rewards are then distributed to participating miner nodes based on their contributions to the FL model. Second, a reputation mechanism is designed to measure the reliability of participating nodes in FL, and a Proof of Contribution Consensus (PoCC) algorithm is proposed to allocate node incentives and package blockchain transactions. Finally, experimental results demonstrate that the proposed incentive mechanism enhances node participation in training and successfully identifies trustworthy nodes.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】Internet of Vehicles (IoV); blockchain; node selection; federated learning; consensus mechanism
【发表时间】2025
【收录时间】2025-02-25
【文献类型】
【影响因子】2.690
【主题类别】
--
【Abstract】In light of the escalating complexity of the cyber threat environment, the role of Collaborative Intrusion Detection Systems (CIDSs) in reinforcing contemporary cybersecurity defenses is becoming ever more critical. This paper presents a Blockchain-based Collaborative Intrusion Detection Framework (BCIDF), an innovative methodology aimed at enhancing the efficacy of threat detection and information dissemination. To address the issue of alert collisions during data exchange, an Alternating Random Assignment Selection Mechanism (ARASM) is proposed. This mechanism aims to optimize the selection process of domain leader nodes, thereby partitioning traffic and reducing the size of conflict domains. Unlike conventional CIDS approaches that typically rely on independent node-level detection, our framework incorporates a Weighted Random Forest (WRF) ensemble learning algorithm, enabling collaborative detection among nodes and significantly boosting the system's overall detection capability. The viability of the BCIDF framework has been rigorously assessed through extensive experimentation utilizing the NSL-KDD dataset. The empirical findings indicate that BCIDF outperforms traditional intrusion detection systems in terms of detection precision, offering a robust and highly effective solution within the realm of cybersecurity.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】collaborative intrusion detection; ensemble learning; weighted random forest
【发表时间】2025
【收录时间】2025-02-25
【文献类型】
【Author】 Guo, Rongxin Liao, Shenglong Zhu, Jianqing
【影响因子】2.690
【主题类别】
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【Abstract】Many blockchain-based crowdsourcing frameworks currently struggle to address the high costs associated with on-chain storage and computation effectively, and they lack a quality-driven incentive mechanism tailored to bounding box annotation scenarios. To address these challenges, this paper proposes CrowdBA: A low-cost, quality-driven crowdsourcing architecture. The CrowdBA utilizes the Ethereum public blockchain as the foundational architecture and develops corresponding smart contracts. First, by integrating Ethereum with the InterPlanetary File System (IPFS), storage and computation processes are shifted off-chain, effectively addressing the high costs associated with data storage and computation on public blockchains. Additionally, the CrowdBA introduces a Dynamic Intersection over the union-weighted bounding box fusion (DWBF) algorithm, which assigns dynamic weights based on IoU to infer true bounding boxes, thereby assessing each worker's annotation quality. Annotation quality then serves as a key criterion for incentive distribution, ensuring fair and appropriate compensation for all contributors. Experimental results demonstrate that the operational costs of each smart contract function remain within reasonable limits; the off-chain storage and computation approach significantly reduces storage and computation expenses, and the DWBF algorithm shows marked improvements in accuracy and robustness over other bounding box fusion methods.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】Ethereum blockchain; smart contract; crowdsourcing; bounding box annotation; bounding box fusion algorithm
【发表时间】2025
【收录时间】2025-02-25
【文献类型】
【Author】 Wang, Bo Jiang, Rong Pu, Xuetao Zhang, Hejiao
【影响因子】2.557
【主题类别】
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【Abstract】The rapid development of the healthcare industry has generated a large volume of electronic medical record data, which is stored across various hospitals. However, due to the sensitivity of medical data, it is prone to privacy breaches. Traditional ciphertext-policy attribute-based encryption schemes face several challenges, including excessive storage overhead for encrypted medical data, public access control policies, difficulties in data sharing between different hospitals, and the inability of patients to control the usage of their medical records. To address these issues, this paper proposes a blockchain-based attribute encryption access control model with constant-size ciphertext and hidden policy (ABE-BC-CSCHP). Firstly, by using an AND gate access structure based on multivalued attributes and wildcards, the model achieves a constant ciphertext size, thereby reducing both blockchain storage overhead and the computational cost of encryption and decryption. Secondly, medical data are stored in a hybrid on-chain and off-chain manner: encrypted medical data is stored off-chain in a distributed file storage system, while keyword index ciphertexts are stored on-chain. The access policies are embedded within the index ciphertext components to achieve policy hiding. Lastly, the model allows users to securely and accurately search encrypted medical data on the blockchain using a searchable encryption algorithm. To avoid single points of failure and to provide patients with flexible control over the usage of their data, the model designs multiple attribute authorities and allows patients to customize access policies. Finally, the security analysis and performance analysis compared with the current existing research shows that the model proposed in this paper is effective.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】Blockchain; Medical data sharing; Access control; Constant ciphertext length; Hidden policy
【发表时间】2025
【收录时间】2025-02-25
【文献类型】
【影响因子】2.387
【主题类别】
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【Abstract】This study examines the impact of cognitive dissonance on the relationship between investors' intentions to use AI advice and their investment behaviour in the cryptocurrency market. The study recruited 348 individuals through a non-random snow-ball sampling technique. Utilising ChatGPT for investment recommendations, the research involves a trading experiment accompanied by a two-stage survey to evaluate investor attitudes towards AI before and their cognitive dissonance levels after the experiment. Structural Equation Modelling (SEM) identifies the connection between the intent to use AI and the influence of cognitive dissonance on investment decisions. Results indicate that investors following AI advice outperformed those who did not, attributable not to AI's predictive power but to reduced cognitive dissonance. This reduction allowed investors using AI to cut losses more effectively, in contrast to those who eschewed AI advice and tended to hold onto losing positions longer, leading to worse performance. Although focused on the cryptocurrency market, the findings suggest a potential for broader applicability in conventional financial markets. The study's key contribution is demonstrating that AI recommendations can mitigate the disposition effect, implying that AI's broader implementation could enhance market efficiency.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】Artificial intelligence; Cognitive dissonance; Investment behaviour; Cryptocurrency; ChatGPT
【发表时间】2025
【收录时间】2025-02-25
【文献类型】
【影响因子】2.352
【主题类别】
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【Abstract】PurposeThe study aimed to determine the static return connectedness between Brazil, Russia, India, China and South Africa (BRICS) equity markets and crypto assets.Design/methodology/approachThe study employs the time-varying parameter vector autoregression (TVP-VAR) method to examine the static and dynamic connectedness between crypto assets and the BRICS stock market. The study sample size was segmented into full sample, pre-COVID-19 and post-COVID-19 for in-depth analysis.FindingsEmpirical findings pointed out the significant rise in the total connectedness between both markets in the pre-COVID-19 period. Our result also exhibits a lower level of connectedness during the post-COVID-19 period. During the full sample period, it was found that cryptocurrencies and Indian, Chinese and South African stock markets remained key return transmitters, while Russian and Brazilian stock markets were seen as recipients. Moreover, during the pre-COVID period, cryptocurrencies played the role of return transmitter while the stock markets in BRICS remained recipients of return spillover.Practical implicationsThis study contains practical insights for investors and portfolio managers in diversifying their portfolios considering the aforementioned connectivity of both markets, especially during periods of instability.Originality/valueThe study highlighted the importance of the TVP-VAR method in analyzing the static and dynamic connectedness of returns between cryptocurrencies and BRICS stock markets in different periods, including pre- and post-COVID-19. It further pragmatized the dynamic roles of cryptocurrencies as transmitters of returns and the BRICS stock markets as receivers where investors and policymakers can navigate market uncertainties.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】Static and dynamic connectedness; BRICS stock market; Cryptocurrencies; TVP-VAR method
【发表时间】2025
【收录时间】2025-02-25
【文献类型】
【DOI】 10.1108/K-10-2024-2745
【影响因子】2.303
【主题类别】
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【Abstract】Advances in blockchain technology offer a decentralized ledger with transformative potential for healthcare data management, facilitating secure transactions and transparent record-keeping. Nevertheless, the sensitive nature of patient data requires enhanced privacy measures. This paper introduces a comprehensive framework enabling researchers to conduct collaborative statistical analysis on health records while preserving privacy and ensuring security. Statistics are invaluable across various disciplines, guiding consequential decisions based on such analysis. The framework integrates privacy-preserving techniques, including secret-sharing, secure multiparty computation (SMPC), and homomorphic encryption, within a blockchain-based healthcare ecosystem. Patient data is divided using secret-sharing, enabling controlled access. Furthermore, SMPC allows secure data aggregation without revealing individual records, while homomorphic encryption supports computation on encrypted data within smart contracts. Through a series of controlled experiments, we assess the framework's effectiveness in maintaining data privacy, facilitating secure collaboration, and conducting statistical data analysis. The results demonstrate successful preservation of data privacy and secure analysis on a permissioned blockchain using the Hyperledger Fabric platform. Our framework showcases efficient performance while effectively utilizing system resources. This research contributes to the evolution of secure and privacy-conscious healthcare data analysis, paving the way for practical applications and future advancements.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】Blockchain; Privacy; Healthcare; Homomorphic encryption; Secure multiparty computation
【发表时间】2025
【收录时间】2025-02-25
【文献类型】
【Author】 Reshi, Iraq Ahmad Sholla, Sahil
【影响因子】2.303
【主题类别】
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【Abstract】An amalgamation of blockchain technology and the Internet of Things (IoT) has presented notable concerns regarding scalability, security, and privacy, particularly in IoT contexts with limited resources. Conventional blockchains, including traditional consensus mechanisms like Proof of Work (PoW) and Proof of Stake (PoS), meet challenges in handling many transactions, meeting energy efficiency standards, and addressing privacy issues in blockchain-based IoT networks. This work presents a new fog-based blockchain paradigm that integrates the benefits of Proof of Authority (PoA) and Delegated Proof of Stake (DPoS) consensus mechanisms and a proxy re-encryption approach to guarantee improved efficiency and system security. The proposed architecture integrates three essential operational algorithms: Fog Node Operation, Blockchain Node Operation, and Privacy Preservation Mechanism. These algorithms manage data processing, ensure secure transactions, and maintain privacy. Fobsim is used to conduct a series of simulations to evaluate the performance of PoA, DPoS, PoW, and PoS. The results indicate that PoA and DPoS provide better transaction speed, energy efficiency, and scalability than conventional consensus. As illustrated in the results, PoA stands out for its deficient energy consumption, making it an ideal fit for IoT applications. This research addresses the pressing concerns of scalability, privacy, and energy efficiency in blockchain-enabled Internet of Things (B-IoT) systems. The results lay the foundation for the future advancement of integrated B-IoT systems that can enable extensive, real-time IoT applications.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】Consensus; Proof of authority; Blockchain based IoT; Fog computing; Proxy re-encryption; Delegated proof of stake
【发表时间】2025
【收录时间】2025-02-25
【文献类型】
【Author】 Antwi, Robert Gadze, James Dzisi Tchao, Eric Tutu Sikora, Axel Agyekum, Kwame Opuni-Boachie Obour Nunoo-Mensah, Henry Agbemenu, Andrew Selasi Agyemang, Justice Owusu Welte, Dominik Ahmed, Abdul-Rahman Keelson, Eliel
【影响因子】2.303
【主题类别】
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【Abstract】The Industrial Internet of Things collects data from the environment to improve industrial processes. Data integrity, privacy, authorisation, and authentication attacks are among the security vulnerabilities in traditional IIoT networks. Blockchain is a potential solution to some of these security issues. However, the throughput of traditional blockchains has been a major drawback. Blockchain's throughput could be improved by enhancing its peer-to-peer (P2P) communications. In the literature, current blockchain implementations use Random-Neighbour-Selection (RNS) to establish the P2P network; that is, peers randomly select their neighbours. However, existing studies have shown that RNS limits the effective throughput. In this study, we identify and analyse how key node features impact the performance of the network. Furthermore, we also investigate the impact of an optimised P2P topology on performance in comparison to RNS. To achieve this, we propose a Software-Defined-Networking-inspired blockchain architecture that decouples blockchain data from network management. We then use a blockchain simulator we extended to simulate and investigate the impact of optimising the P2P network on performance. Compared to existing solutions, the results show that, despite having a longer runtime, our approach reduces the number of control messages and finality time by at least 16% and 20%, respectively, while increasing transactional throughput by at least 46%.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】Blockchain; IIoT; P2P topology; MOPSO; RNS; Network optimisation
【发表时间】2025
【收录时间】2025-02-25
【文献类型】
【影响因子】2.303
【主题类别】
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【Abstract】Blockchain is a distributed ledger that various applications can use to store data in a secure, decentralized, and immutable manner. The key piece in a blockchain is the consensus algorithm that different blockchain nodes run to obtain mutual agreement. While the Practical Byzantine Fault Tolerant (PBFT) is one of the most used algorithms and provides several advantages, it has a high communication cost, and it is executed in a sequential manner for consistency. To improve PBFT for blockchain consensus use, related works have added restrictive assumptions that can compromise security, consistency, and fault tolerance capabilities. This paper proposes a novel parallel PBFT-based consensus algorithm called Random-Cluster parallel PBFT. Our algorithm runs parallel consensus on random clusters in the blockchain network and then the resulting consensus is broadcasted to the blockchain network for a global consensus. Our proposal reduces the communication costs and improves the performance of the consensus which makes the blockchain more scalable. We provide formal proofs of the correctness of our algorithm. We have also proposed an algorithm to resolve the transaction order problem to address a consistent distributed ledger with concurrent consensus. The evaluation of throughput and communication complexity shows that Random-Cluster parallel PBFT provides better performance and more relevant results.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】Lightweight blockchain; Parallel PBFT; Clustering; Consensus algorithm
【发表时间】2025
【收录时间】2025-02-25
【文献类型】
【影响因子】1.965
【主题类别】
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【Abstract】The lottery business is a form of gambling activity operated by authority agencies. Due to the substantial economic interests, its security and fairness become the core elements of industry development. To maintain the trust of participants and ensure fair competition, blockchain technology has been widely applied in the lottery field due to the characteristics of decentralization, transparency, and immutability. However, with the rapid advancement of quantum computing, the security of traditional blockchain technology is challenged largely. To tackle this issue, a novel consensus mechanism which can resist quantum attacks is first proposed, based on a self-tallying quantum voting protocol. Then, a quantum circuit is designed, which can encode n-bit binary information into the relative phase of a quantum state and entangle the blocks by means of controlled-Z (CZ) gate, forming a quantum blockchain structure with timestamps. Finally, utilizing the designed quantum blockchain, a new type of lottery protocol is constructed. The proposed protocol meets the requirements of decentralization, unforgeability, verifiability, and quantum attack resistance. Compared to existing lottery protocols, it can support an arbitrary number of players, and only one communication is required for the ticket purchase process of each player, making it suitable for most of lottery game scenarios.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】Consensus algorithm; Quantum blockchain; Quantum coding; Lottery protocol
【发表时间】2025
【收录时间】2025-02-25
【文献类型】
【Author】 Patra, Saswat Gupta, Neha
【影响因子】1.903
【主题类别】
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【Abstract】The study examines the relationship between volume and volatility in leading cryptocurrencies i.e. Bitcoin and Ethereum, within the framework of Mixture of Distribution Hypothesis (MDH). It accommodates structural shifts in the cryptocurrency prices and uses fat-tailed distributions. The results show that the MDH is rejected for both cryptocurrencies, and volume alone cannot explain the heteroskedasticity of returns; however, it acts as a significant predictor for volatility, especially when incorporating structural breaks in the model. Further, the forecasting performance improves when fat-tailed distributions, such as the skewed student's t and Johnson's Su distribution are used to model the innovations. Thus, volume holds important information in the crypto markets and can affect returns, thereby, raising concerns about market efficiency. Our results are robust across different periods, modelling approaches and forecasting horizons, and hold substantial implications for traders, market participants, regulators, and governments in designing effective policies.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】Volatility; mixture of distribution hypothesis; volume; market efficiency; cryptocurrency; G12; G14; G17; C58
【发表时间】2025
【收录时间】2025-02-25
【文献类型】
【影响因子】1.882
【主题类别】
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【Abstract】Mobile ad hoc networks (MANETs) integrated with the Internet of Things (IoT) form a decentralized communication framework crucial for 6G environments. However, ensuring secure and efficient routing in such networks remains a challenge due to their distributed nature and vulnerability to attacks. This paper introduces a heterogeneous local directed acyclic graph blockchain (HLDAG-BC) combined with recalling enhanced recurrent neural networks (RERNNs) for secure and efficient routing in MANET-IoT environments. The HLDAG-BC offers tamper-proof communication and identity-based conditional privacy-preserving authentication (ICPA) is a lightweight and secure node authentication scheme. Network nodes are grouped using the kernel neutrosophic c-means (KNCM) algorithm. The optimal cluster heads are chosen using the red piranha optimization (RPO) method. RERNN determines the shortest routing path to increase reliability and minimize latency. Furthermore, an HDLNN is used for intrusion detection to achieve robust network security. The HLDAG-BC-RERNN approach proposed shows that the packet delivery ratio improves by 31.35%, throughput by 34.56%, latency by 30.29%, and network lifetime by 28.67% compared to the existing approaches, as shown in the comprehensive evaluations. In conclusion, the proposed framework offers a scalable and secure solution for MANET-IoT networks, making it a viable approach for future 6G applications.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】blockchain; deep learning; Internet of Things; intrusion detection; malicious attacks; mobile ad hoc networks; node authentication; privacy-preserving; security
【发表时间】2025
【收录时间】2025-02-25
【文献类型】
【DOI】 10.1002/dac.6110
【影响因子】1.363
【主题类别】
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【Abstract】Blockchain technology has attracted worldwide attention, and has strong application potential in complex product system supply chain and other fields. This paper focuses on the supply chain management issues of complex product systems, and combines the technical characteristics of blockchain, such as tamper resistance and strong resistance to destruction, to conduct research on the application of blockchain based supply chain management for complex product systems. The blockchain technology is integrated into functional modules such as business interaction, privacy protection, data storage, and system services. The application technology architecture of complex product system supply chain integrated with blockchain is constructed. The application practice in complex product system supply chain is carried out. The results show that the supply chain of complex product systems has the functions of traceability, cost reduction, and anti-counterfeiting protection. Finally, the future development direction and research focus of the complex product system supply chain based on blockchain are prospected, which provides a reference for the equipment manufacturing supply chain management in the military industry.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】supply chain; block chain; complex product system; supply chain; block chain; complex product system
【发表时间】2024
【收录时间】2025-02-25
【文献类型】
【Author】 Biswas, Surojit Banerjee, Buddhananda
【影响因子】1.247
【主题类别】
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【Abstract】This paper introduces a novel regression model designed for angular response variables with linear predictors, utilizing a generalized M & ouml;bius transformation to define the regression curve. By mapping the real axis to the circle, the model effectively captures the relationship between linear and angular components. A key innovation is the introduction of an area-based loss function, inspired by the geometry of a curved torus, for efficient parameter estimation. The semi-parametric nature of the model eliminates the need for specific distributional assumptions about the angular error, enhancing its versatility. Extensive simulation studies, incorporating von Mises and wrapped Cauchy distributions, highlight the robustness of the framework. The model's practical utility is demonstrated through real-world data analysis of Bitcoin and Ethereum, showcasing its ability to derive meaningful insights from complex data structures.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】angular data; area element; cryptocurrency; linear-circular regression; M & ouml;bius transformation; non-parametric bootstrap; torus
【发表时间】2025
【收录时间】2025-02-25
【文献类型】
【DOI】 10.1002/sam.70012