【Author】 Ying, Chenhao Du, Yuxuan Zhang, Weiting Jiang, Xikun Wang, Gang Jin, Haiming Li, Jie Luo, Yuan Tao, Dacheng
【影响因子】13.081
【主题类别】
--
【Abstract】With the development of quantum blockchain, the quantum consensus protocols have garnered increasing attention, which play a crucial role in driving the implementation of quantum blockchains. However, existing protocols, derived from the classical consensus algorithms, face practical application challenges due to current quantum technology limitations. The first challenge is the bottleneck in generating large-scale entangled quantum states. The second challenge arises from the generation of malicious quantum states. The final challenge involves privacy concerns. To address these challenges, we propose a practical iterative QUantum consensus protocol with sharding construction, namely, Q-Union. In fact, Q-Union employs an iterative consensus algorithm where participating nodes are divided into multiple smaller shards, with the consensus process occurring within the current shard, and new shards are involved only if consensus is not achieved. Leveraging Greenberger-Horne-Zeilinge states and Aharonov states, Q-Union harnesses the advantages of quantum mechanics to achieve anonymous consensus, protecting the private information of participating nodes. Additionally, by integrating state verification, Q-Union ensures the correctness of the consensus procedure in the presence of malicious nodes generating adversarial quantum states. Finally, it is proven that Q-Union can also defend against Byzantine attacks from adversarial nodes, maintaining the same security level as traditional non-sharded consensus protocols. Specifically, it consistently outputs the correct consensus when the fraction of adversaries among participating nodes is less than 1/2 with synchronous communication. Both the theoretical analysis and performance illustration demonstrate the superior performance of the proposed Q-Union compared to state-of-the-art protocols.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】Consensus protocol; Quantum state; Protocols; Security; Peer-to-peer computing; Consensus algorithm; Sharding; Qubit; Iterative algorithms; Computer security; Quantum blockchain; quantum consensus; Byzantine fault tolerance; anonymous voting
【发表时间】2025
【收录时间】2025-09-22
【文献类型】
【Author】 Liu, Yizhong Zhao, Boyu Lin, Xun Guan, Zhenyu Li, Dawei Liu, Jianwei Wu, Qianhong Susilo, Willy Deng, Robert H.
【影响因子】13.081
【主题类别】
--
【Abstract】With the approach of the quantum era, public key cryptography (PKC) faces risks, which also presents challenges to blockchain technologies that utilize PKC as a core component. Sharding blockchain is a promising way to realize scalability, yet current research does not consider quantum-resistant sharding blockchains as it is non-trivial to design cross-shard communication and transaction processing method without PKC. Besides, blockchain enables reliability in data transmission and unbreakable communication while current schemes suffer from high overhead and low throughput. In this paper, we propose a quantum-resistant sharding blockchain (QRShar) and a secure data transmission scheme (QRDT) to fill the above gap. Firstly, we design a secure and efficient cross-shard communication pattern utilizing hash-based message authentication code (HMAC) and erasure code to reduce the transmission load and achieve high efficiency. Secondly, we propose the a quantum-resistant sharding blockchain utilizing optimized cross-shard transaction processing method to decrease the consensus execution frequency. Thirdly, we introduce a quantum-resistant key agreement protocol through the verifiable secret sharing on cryptographic hash function and we also offer a data transmission scheme to realize efficient QRDT. Furthermore, we conduct security analysis and performance evaluations for our schemes. The results show that the QRShar throughput can reach up to 34 KTPS and the latency stays below 2 seconds. The key agreement latency is just 43ms.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】Blockchains; Sharding; Data communication; Cryptography; Security; Scalability; Reliability; Throughput; Symbols; Resistance; Sharding blockchain; secure data transmission; quantum-resistance; no PKC
【发表时间】2025
【收录时间】2025-09-22
【文献类型】
【Author】 Yi, Yongxi Feng, Yuan Li, Yuqiong Li, Chao
【影响因子】10.972
【主题类别】
--
【Abstract】This study examines how the adoption of blockchain influences the selection of sales models (reselling vs. consignment) in e-commerce supply chains in which consumers have reference-quality effects. Using a dynamic game-theoretic model between a supplier and a platform, analyse four scenarios that combine blockchain adoption with different sales models. We find that: (1) A high correlation between consumer quality effects and brand goodwill suppresses quality improvement and platform reputation, hurting supplier profits but exhibiting a U-shaped effect on platform profits. (2) Blockchain, despite its upfront costs, proves to be a viable long-term investment, boosting both product quality and platform goodwill. (3) The consignment model favours suppliers under low commission rates, while reselling dominates at higher rates, with platform profits peaking at intermediate commission levels. These insights guide platforms in aligning blockchain adoption with sales strategies to mitigate reference-quality challenges.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】E -commerce platform supply chain; Blockchain technology; Sales model; Consumer reference-quality effects
【发表时间】2026
【收录时间】2025-09-22
【文献类型】
【Author】 Sokolova, Karina Perez, Charles
【影响因子】10.884
【主题类别】
--
【Abstract】Avatars, users' visual embodiments in metaverses and games, have become central to virtual economies and vectors for marketing strategies due to users' desire to personalize their appearances. In this study, we empirically investigate two years of avatar skin purchases in Decentraland, recorded transparently on the blockchain, to better understand the actual choices users make for their embodiment, focusing on anthropomorphism-how human-like the avatar is. Our results, summarized as the Avatar Anthropomorphism Continuum, indicate users' prioritization of body completeness for embodiment over body likeness (and even more over head likeness) and offer a view of avatar purchases regarding anthropomorphic features. Our results show that users have consistent purchase preferences that tend to evolve toward greater human-likeness. This contribution could provide the basis for a recommender system and help practitioners adjust their offerings.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】Anthropomorphism; Avatar; Embodiment; Virtual goods; Metaverse
【发表时间】2025
【收录时间】2025-09-22
【文献类型】
【影响因子】9.848
【主题类别】
--
【Abstract】In this study, we examine how market-state transitions shape momentum profitability in cryptocurrencies. Unlike Asem and Tian (2010), who find that equity momentum profits arise whenever markets persist in the same state, we show that crypto momentum arises only in UP-UP regimes, whereas other transitions disrupt conviction and suppress momentum. This asymmetry suggests that market-state transitions serve as signals of shifts in investor beliefs, consistent with Kogan et al.'s (2024) perspective on belief-updating asymmetry. Furthermore, we find a similar but weaker UP-UP momentum pattern in meme stocks, providing external validation that our findings extend beyond crypto assets to other retail-driven speculative markets. These results suggest that momentum in speculative markets depends on regime continuity and investor psychology, not simply on static conditions or overreaction.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】Cryptocurrency; Momentum strategies; Market transitions; Market states; Meme stocks
【发表时间】2025
【收录时间】2025-09-22
【文献类型】
【Author】 Liu, Wenqiong Bao, Xiaohan Han, Xing Li, Youwei
【影响因子】9.848
【主题类别】
--
【Abstract】This study investigates the cryptocurrency market's microstructure, focusing on liquidity, liquidity commonality, and seasonality patterns. We find an inverted U-shaped pattern in the daily bid-ask spread, trading volume, and volatility within a week. Furthermore, a strong liquidity commonality exists across cryptocurrencies, indicating co-movement of a coin's liquidity with the overall market liquidity. Moreover, the liquidity commonality peaks midweek and declines over the weekend. These seasonal patterns persist for the largest cryptocurrency after controlling for additional liquidity determinants.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】Cryptocurrencies; Liquidity; Market microstructure; Seasonality
【发表时间】2025
【收录时间】2025-09-22
【文献类型】
【影响因子】9.030
【主题类别】
--
【Abstract】Wireless channel modeling is critical to understanding and optimizing signal transmission. Wireless channels are influenced by many factors, including path loss, reflection, fading, and interference, making them complex and difficult to model and predict. Although some traditional wireless channel modeling methods are effective, they have limitations in handling complex multipath effects and nonlinear characteristics. Generative artificial intelligence (GAI) has the ability to generate robust data and therefore can be potentially used to model realistic wireless channel characteristics. However, there exist some challenges in GAI for wireless channel modeling, including physical layer network security issues, limited generalization ability, and the bandwidth consumption of centralized training. This article introduces a GAI-based wireless channel modeling framework, which leverages blockchain and federated learning to address efficiency, network security, and data privacy concerns in GAI channel modeling. Blockchain technology, through distributed ledgers and smart contracts, enables resource sharing and efficient utilization, enhancing computational efficiency and reducing network security risks. Federated learning allocates training tasks to different devices and nodes, thus allowing model training without centralizing data, protecting user privacy, and reducing network bandwidth usage. This article demonstrates the performance and effectiveness of the proposed framework through numerical results.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】Wireless communication; Training; Data privacy; Federated learning; Computational modeling; Network security; Data models; Blockchains; Numerical models; Communication system security
【发表时间】2025
【收录时间】2025-09-22
【文献类型】
【DOI】 10.1109/MCOM.001.2400699
CCF-C
【影响因子】8.665
【主题类别】
--
【Abstract】Smart contract development remains almost inaccessible to non-experts developers despite the growing adoption of blockchain technology across industries. This paper evaluates the potential of Large Language Models (LLMs) for automated smart contract generation from legal agreements. The work systematically assesses the capabilities of four leading commercial LLMs - gpt-4-turbo (OpenAI), claude-3.5-sonnet (Anthropic), mistral-large (MistralAI), and gemini-1.5-pro (Google) - across a diverse range of legal agreements with varying complexity. The evaluation framework consists of a in-depth evaluation of structured code patterns - typical to smart contracts - to provide nuanced insights into model performances. The results reveal a performance hierarchy with claude-3.5-sonnet and gpt-4-turbo consistently outperforming mistral-large and gemini-1.5-pro, particularly when handling complex agreements such as mortgage note agreement and property sales agreement. A nonlinear relationship has been observed between contract complexity and model performance, with even top-performing models showing significant degradation when processing intricate legal structures. Although achieving syntactic correctness has become increasingly feasible, ensuring functional completeness and security remains challenging, as evidenced by high-impact vulnerabilities detected across all generated smart contracts. This work contributes to the growing discourse on LLM applications in blockchain technology by providing empirical evidence of current capabilities and limitations, establishing a robust foundation for future research in AI-assisted smart contract development.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】Smart contract development; Smart contract generation; Smart contract; Blockchain; Large language model; Legal contracts
【发表时间】2026
【收录时间】2025-09-22
【文献类型】
CCF-C
【影响因子】7.802
【主题类别】
--
【Abstract】As smart cities evolve, the increasing number of Internet of Things (IoT) devices requires secure authentication mechanisms for device-to-device (D2D) communication, especially within 5G networks. To address security challenges in D2D communication, Blockchain (BC) technology is utilized. Existing methods face issues like single-point failure attacks, high implementation costs, and data privacy concerns. This work aims to develop a secure and efficient authentication model leveraging BC technology and a Deep Q Network (DQN) for key generation to enhance IoT security in smart city applications. A novel authentication model, Deep Q Network-SecAuth (DQN-SecAuth), is proposed for secure D2D communication using BC. The model involves key entities such as the Registration Authority Center (RAC), blockchain, and IoT devices. The authentication process includes six stages: setup, registration, key generation, authentication, new device addition, and formal verification. In the key generation stage, the secret key is generated using a Deep Learning (DL) model named DQN. The proposed model also incorporates encryption, hash functions, Chebyshev polynomials, and XOR operations to ensure security. The DQN-SecAuth model achieved a minimum computational time of 9.525 s and memory usage of 42.897 megabytes (Mb), consensus delay of 0.420 s, energy consumption of 0.715 J, latency of 0.469 s, power consumption of 0.270 kW-hour (kWh), and throughput of 0.804 megabits per second (Mbps). The key novelty of this work is the use of a DQN for adaptive key generation, integrated into a BC-based authentication framework. This combination enhances security, reduces computational overhead, and outperforms traditional static key-generation and authentication methods in smart city IoT environments.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】Data encryption; Key generation; Internet of things; Blockchain; Deep Q network
【发表时间】2025
【收录时间】2025-09-22
【文献类型】
【Author】 Umar, Abdullah Jamwal, Prashant Kumar Kumar, Deepak Gupta, Nitin Gali, Vijayakumar Kumar, Ajay
【影响因子】7.632
【主题类别】
--
【Abstract】This study proposes a decentralized, blockchain-enabled demand response (DR) framework to address the limitations of traditional centralized DR systems, which often suffer from privacy vulnerabilities, single points of failure, and susceptibility to Sybil attacks. By combining a hybrid Proof-of-Stake (PoS) mechanism with dynamic reputation scoring, the framework ensures secure and Sybil-resilient validator selection for consensus. To preserve privacy, Zero-Knowledge Proofs (ZKPs) ,SNARKs are embedded into smart contracts, enabling verifiable energy transactions without revealing sensitive bid or identity information. A dynamic game-theoretic model is used to capture the strategic interactions of prosumers during DR events, with formal analysis proving convergence to the Nash equilibrium under practical load conditions. The system is implemented using Solidity on the Polygon Mainnet and evaluated with real residential data from the Pecan Street dataset. Experimental results demonstrate significant performance gains, including a 12% reduction in peak demand, a 10% increase in prosumer generation, 83% load-shifting efficiency, and a 5.26% improvement in cost savings compared to static demand-side management (DSM) schemes. Additionally, the framework effectively mitigates 99% of Sybil attacks and achieves consensus within 8 s for up to 1000 nodes, highlighting its scalability, security, and suitability for integration with national DR platforms, carbon credit markets, and autonomous multi-agent energy systems.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】Smart contract; Microgrid; Demand response; Sybil attack; Dynamic game theory; PoS consensus mechanism
【发表时间】2025
【收录时间】2025-09-22
【文献类型】
CCF-C
【影响因子】7.021
【主题类别】
--
【Abstract】Secure healthcare information exchange (HIE) is critical to improving medical services, enabling data interoperability, and ensuring patient privacy. However, the increasing threat posed by quantum computing challenges the reliability of conventional cryptographic mechanisms. To address this, we propose a post-quantum secure healthcare data-sharing scheme that combines the Extended Merkle Signature Scheme (XMSS) and consortium blockchain technology to guarantee the integrity, authenticity, and traceability of electronic medical records (EMRs). Furthermore, the scheme incorporates autonomous artificial intelligence (AI) to assist healthcare professionals in generating accurate and intelligent diagnostic reports, enhancing clinical decision-making. We theoretically analyze the scheme's security in the random oracle model, demonstrating that it effectively resists various threats. Performance evaluation shows that the scheme is particularly suitable for HIE scenarios as it reduces about 49% in total computational overheads and 36% in blockchain storage compared to other schemes.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】Blockchains; Security; Artificial intelligence; Quantum computing; Hospitals; Medical diagnostic imaging; Public key; Data privacy; Computational modeling; Authentication; Healthcare information exchange (HIE); consortium blockchain; autonomous AI; post-quantum
【发表时间】2025
【收录时间】2025-09-22
【文献类型】
【Author】 Chen, Guorong Wang, Wei Wu, Yufang Li, Chao Xu, Guangquan Ji, Shouling Li, Tao Shen, Meng Han, Yufei
CCF-A
【影响因子】6.791
【主题类别】
--
【Abstract】Conventional federated learning (FL) coordinated by a central server focuses on training a global model and protecting the privacy of clients' training data by storing it locally. However, the statistical heterogeneity hinders the global model from adapting to the non-IID distributions among clients. Moreover, untrusted and unreliable central servers and malicious clients may compromise model integrity and availability, thus degrading the robustness of FL. To address these challenges, we present RobustPFL, a decentralized personalized federated learning (PFL) approach that combines a-based Layer-position Normalized Similarity (alpha-LNS) and local collaborative training to improve personalized performance while utilizing a blockchain-based committee mechanism to coordinate the aggregation process, thereby achieving high personalized accuracy and robustness. Extensive experiments show that our RobustPFL approach outperforms multiple algorithms, including Local training, FedAvg, FedReptile, Per-FedAvg, FedBN, and SPFL, on MNIST, CIFAR10, EMNIST, and N-BaIoT datasets in four non-IID settings. We also evaluate RobustPFL's effectiveness against attacks-poisoning attacks and free-riding attacks. Particularly, for three prevalent poisoning attacks (backdoor, label flipping, and model poisoning attacks), we compare non-defensive (FedAvg) and defensive (Krum, trimmed mean, Bulyan, FedBN, FLAME, and FangTrmean) methods with our proposed RobustPFL. The results show that our approach achieves significant defensive effects.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】Personalized federated learning; cosine similarity; local collaborative training; blockchain; committee; poisoning attack; free-riding attack
【发表时间】2025
【收录时间】2025-09-22
【文献类型】
CCF-A
【影响因子】6.791
【主题类别】
--
【Abstract】As blockchain technology matures and its adoption grows across multiple industries, there is a growing need to make the data stored on blockchains adaptable to prevent misuse. However, such modifications can lead to inconsistency when interacting with other blockchains, necessitating the preservation of dynamic data consistency during these cross-chain interactions. While ensuring consistency for static data is relatively straightforward, doing so for dynamic data with efficiency remains a significant challenge. In response, we propose an efficient dynamic cross-chain data consistency auditing model (EDCA), which artfully integrates an advanced gamma multi-signature approach (AGMS) with the designed dynamic Merkle hash tree (D-MHT) to facilitate effective auditing of the consistency for dynamic data in cross-chain interaction. EDCA can produce relatively small auditor states while maintaining the storage proof. Moreover, EDCA is proven to satisfy strong security and privacy guarantees, tag unforgeability, and proof unforgeability. Experimental evaluations confirm that EDCA has high computational and communicational efficiency and can retain a small and relatively constant auditing overhead.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】Cross-chain; data consistency auditing; data dynamism; advanced gamma multi-signature scheme
【发表时间】2025
【收录时间】2025-09-22
【文献类型】
CCF-A
【影响因子】6.791
【主题类别】
--
【Abstract】Program optimization is a key factor for green software. In the context of the Ethereum blockchain, optimization is particularly relevant because there is a fee to pay for each EVM (Ethereum Virtual Machine) instruction executed and also there exist bytecode-size limitations for deploying the software on the blockchain. Still, optimization of EVM code is not as widely spread as one could imagine. This is at least partly due to the lack of trust in the correctness of the tools, as security is even more relevant than efficiency in the blockchain context in which bugs may cause huge economical losses. This article develops a formal verification framework using Coq to ensure the security of EVM optimizations performed on jump-free sequences of EVM bytecode. By means of Coq's theorem proving capabilities, we are able to automatically verify/certify that an optimized jump-free sequence of EVM opcodes is semantically equivalent to a given original one. We also present an extension to our framework that can handle inter-block optimizations that propagate global information across blocks. We have applied our tool to successfully prove the security of peephole optimizations performed by the standard Solidity compiler, and also to existing EVM superoptimization tools (namely GASOL and Superstack) in which we have found bugs that have been reported and fixed.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】Coq; ethereum virtual machine; bytecode; smart contracts; optimization; theorem proving
【发表时间】2025
【收录时间】2025-09-22
【文献类型】
CCF-A
【影响因子】6.791
【主题类别】
--
【Abstract】With the continuous development of digitization evolutions, vehicular digital twin networks (VDTNs) facilitate traffic data and optimization results to be exchanged between the vehicle and digital twin as well as shared among a group of digital twins. However, the data exchange and group sharing processes take place in real-time over public communication channels, which suffer from various security and privacy threats. Key agreement technologies are promising to enable secure data communications for entities, but the existing key agreement schemes generally fail to fulfill the requirements of synchronization, privacy, and entity management for VDTNs. Therefore, we propose a blockchain-assisted privacy-preserving and synchronized key agreement scheme for VDTNs. In the proposed scheme, the anonymous vehicle and digital twin can negotiate a secret session key in the case of synchronization to achieve secure data exchange. Meanwhile, digital twins are capable of utilizing synchronized state information to dynamically establish a common group encryption key but hold individual decryption keys, which guarantee the security of group sharing. Additionally, the proposed scheme is able to protect identity privacy and manage vehicles and digital twins with the assistance of blockchain and smart contract. The security analysis demonstrates that the proposed scheme provides security and privacy assurances for VDTNs. The performance evaluation indicates that it has excellent expressions in terms of efficiency, practicality, and smart contract consumption.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】Vehicular digital twin networks; security; privacy protection; key agreement; blockchain
【发表时间】2025
【收录时间】2025-09-22
【文献类型】
【Author】 Wang, Zhiwei Yiu, Siuming Lan, Longwen
CCF-A
【影响因子】6.791
【主题类别】
--
【Abstract】To solve the problem of blockchain interoperability, we propose an efficient decentralization oracle solution. We design a subgroup Schnorr multisignature for the off-chain aggregation mechanism of our system, which is proven to be secure and robust. Compared with threshold signature-based schemes, the subgroup multisignature-based scheme does not require the execution of the distributed key generation protocol, which greatly reduces off-chain costs. The on-chain verification of the Schnorr signature is also more efficient than the pairing-based signatures. Then, we design a fair incentive mechanism to encourage the oracle nodes to work hard to validate the external data, which is based on a repeated dynamic game. Compared with the existing incentive mechanisms, our mechanism considers the real actions of each node to determine whether it should be rewarded or penalized. We implement our system over the Ethereum blockchain, and the experiments show its good performance.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】Blockchains; Smart contracts; Interoperability; Public key; Costs; Security; Robustness; Aggregates; Training; Data mining; Decentralization oracle; subgroup multisignature; incentive mechanism; repeated dynamic game; schnorr signature
【发表时间】2025
【收录时间】2025-09-22
【文献类型】
CCF-A
【影响因子】5.226
【主题类别】
--
【Abstract】With the prevalence of smart contracts, smart Ponzi schemes have become a common fraud on blockchain and have caused significant financial loss to cryptocurrency investors in the past few years. Despite the critical importance of detecting smart Ponzi schemes, a reliable and transparent identification approach adaptive to various smart Ponzi schemes is still missing. To fill the research gap, we first extract semantic-meaningful actions to represent the execution behaviors specified in smart contract bytecodes, which are derived from a literature review and in-depth interviews with domain experts. We then propose PonziLens+, a novel visual analytic approach that provides an intuitive and reliable analysis of Ponzi-scheme-related features within these execution behaviors. PonziLens+ has three visualization modules that intuitively reveal all potential behaviors of a smart contract, highlighting fraudulent features across three levels of detail. It can help smart contract investors and auditors achieve confident identification of any smart Ponzi schemes. We conducted two case studies and in-depth user interviews with 12 domain experts and common investors to evaluate PonziLens+. The results demonstrate the effectiveness and usability of PonziLens+ in achieving an effective identification of smart Ponzi schemes.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】Smart contracts; Blockchains; Codes; Fraud; Source coding; Data visualization; Flow graphs; Feature extraction; Reliability; Investment; Smart ponzi scheme; visual analytics; blockchain; smart contracts
【发表时间】2025
【收录时间】2025-09-22
【文献类型】
CCF-C
【影响因子】4.816
【主题类别】
--
【Abstract】The high mobility and dynamic nature of vehicles pose significant challenges for existing cluster head election mechanisms, which struggle to maintain network stability and efficiency amidst frequent topology changes. To address these challenges, this study proposes a novel scheme based on Blockchain-enhanced Multidimensional vehicle behavior scoring for Cluster Head election (BMCH). The proposed method evaluates a range of factors, including participation degree, integrity degree, vehicle resources allocation, location and mobility pattern, vehicle compliance and legal adherence and vehicle anomalous behaviors. By dynamically adjusting scoring weights, the mechanism thereby ensures more accurate cluster head election under varying network conditions. Additionally, blockchain technology is integrated to encrypt and securely store trust scores and election outcomes, ensuring data integrity, consistency and decentralized tamper resistance. Experimental simulations demonstrate that the proposed approach enhances network stability even in the presence of malicious nodes, while achieving shorter cluster head election times, higher packet delivery rates, increased blockchain throughput, and acceptable energy consumption compared to representative existing schemes.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】Internet of Vehicles (IoV); Network stability; Blockchain; Cluster head election; Vehicle behavior scoring
【发表时间】2025
【收录时间】2025-09-22
【文献类型】
【Author】 Acciai, Eleonora Perez-Bou, Silvia
【影响因子】4.643
【主题类别】
--
【Abstract】PurposeThis study explores blockchain and digital product passport (DPP) adoption in Italian fashion SMEs, analyzing supply chain challenges and sustainability benefits to support the circular economy transition.Design/methodology/approachQualitative semi-structured interviews with Italian fashion companies and consultants were analyzed using thematic coding to explore blockchain's impact on supply chain traceability, complemented by secondary data for context.FindingsDPPs enhance traceability, supporting material recycling and reuse in the fashion industry. However, adoption is hindered by challenges related to data standardization, regulatory uncertainties and consumer education. Robust certification and collaboration are essential to overcome these barriers.Practical implicationsThe DPP facilitates circular economy by enabling the recovery and transformation of end-of-life products. However, blockchain's potential is fully realized only when paired with certifications that ensure data authenticity and prevent greenwashing.Social implicationsThe social implications of DPPs underscore the importance of consumer education to foster sustainable purchasing behaviors. Sales staff play a crucial role in conveying the sustainability story, while storytelling enhances consumer engagement. A cultural shift is necessary to reduce overconsumption linked to unsustainable models.Originality/valueThis study examines the implementation challenges and opportunities of DPPs in Italy's fashion industry, emphasizing the necessity of third-party certifications, consumer education and behavioral shifts to enhance the "Made in Italy" value. It highlights that blockchain alone does not guarantee transparency without these complementary measures.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】Sustainability; Traceability; Supply chain; Fashion industry; Made in Italy; Digital product passport
【发表时间】2025
【收录时间】2025-09-22
【文献类型】
【影响因子】4.481
【主题类别】
--
【Abstract】Purpose - This study examines the ethical implications of stablecoins from the business ethics perspective. Specifically, this paper aims to construct an analytical framework to systematically examine the ethical challenges associated with stablecoins, identify various moral issues and risks arising from stablecoins and provide feasible solutions for relevant stakeholders. Design/methodology/approach - This study employs framework development and conceptual analysis to construct a theoretically grounded framework for examining the business ethics of stablecoins. Findings - In this paper, we develop a multi-layered and multi-dimensional framework, through which we analyze the business ethics of stablecoins at the technology and artifact levels and introduce the analysis at the individual, firm and system levels at the application layer. Specifically, we discuss the moral good, bad, ambivalence, and risks of stablecoins from the utilitarian perspective and propose potential ways to mitigate the risks of stablecoin applications and future research directions related to the ethical development of stablecoins. Originality/value - This research not only provides theoretical support and practical guidance for the sound development of stablecoins but also offers systematic analytical methods and thinking paths for the ethical exploration of other emerging technologies.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】Stablecoins; Blockchain technology; Cryptocurrencies; Business ethics
【发表时间】2025
【收录时间】2025-09-22
【文献类型】
【DOI】 10.1108/ITP-06-2024-0753
【Author】 Naseem, Snovia Yong, Tang
【影响因子】3.889
【主题类别】
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【Abstract】Cross-border data flows are critical to the operation of global supply chains, particularly for digital enterprises such as Alibaba and Infosys. However, these flows introduce substantial challenges related to digital supply chain risk and cybersecurity management. This study examines how blockchain technology addresses these challenges within the operational contexts of Alibaba and Infosys. Unlike earlier research that often focused on sector-specific implementations or conceptual models, this study positions its findings within broader empirical evidence on blockchain-enabled supply chain governance, offering a comparative perspective that has been largely absent in prior work. Using an explanatory mixed-methods approach, the research combines thematic analysis of 85 peer-reviewed studies with in-depth case evaluations of the two firms. NVivo-based qualitative coding was applied to supporting sources, including GDPR audit reports, blockchain transaction records, and company disclosures. The findings demonstrate that blockchain adoption reduces cybersecurity breaches, enhances data integrity, and improves supply chain resilience. The study further shows how blockchain integration strengthens digital collaboration and regulatory alignment, enabling secure and uninterrupted data flows that support operational continuity and innovation. Overall, the research offers practical insights for digital enterprises and contributes to a deeper understanding of blockchain's strategic role in cross-border data risk management.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】supply chain risk; cross border data flow; blockchain technology; Alibaba; Infosys; SDGs
【发表时间】2025
【收录时间】2025-09-22
【文献类型】
【DOI】 10.3390/su17177704
【影响因子】3.889
【主题类别】
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【Abstract】In this paper, we design, implement, and empirically evaluate a tamper-evident, blockchain-secured solar energy logging system for resource-constrained edge Internet of Things (IoT) devices. Using a Merkle tree batching approach in conjunction with threshold-triggered blockchain anchoring, the system combines high-frequency local logging with energy-efficient, cryptographically verifiable submissions to the Ethereum Sepolia testnet, a public Proof-of-Stake (PoS) blockchain. The logger captured and hashed cryptographic chains on a minute-by-minute basis during a continuous 135 h deployment on a Raspberry Pi equipped with an INA219 sensor. Thanks to effective retrial and daily rollover mechanisms, it committed 130 verified Merkle batches to the blockchain without any data loss or unverifiable records, even during internet outages. The system offers robust end-to-end auditability and tamper resistance with low operational and carbon overhead, which was tested with comparative benchmarking against other blockchain logging models and conventional local and cloud-based loggers. The findings illustrate the technical and sustainability feasibility of digital audit trails based on blockchain technology for distributed solar energy systems. These audit trails facilitate scalable environmental, social, and governance (ESG) reporting, automated renewable energy certification, and transparent carbon accounting.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】blockchain; Merkle tree; solar energy; ESG reporting; Proof-of-Stake; IoT; decentralized monitoring; energy logging; carbon footprint
【发表时间】2025
【收录时间】2025-09-22
【文献类型】
【DOI】 10.3390/su17178063
【Author】 Haque, Md. Rafid Islam Munna, Sakibul Ahmed, Sabbir Islam, Md. Tahmid Hassan Onik, Md Mehedi Rahman, A. B. M. Ashikur
【影响因子】3.752
【主题类别】
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【Abstract】Centralized version control systems (VCS) are vital for software development but pose risks of data loss and ownership disputes. While blockchain offers a decentralized alternative, existing solutions are often hindered by high latency, compromising the real-time collaboration essential for modern workflows. This study introduces a novel hybrid architecture combining the security of the Ethereum blockchain and the InterPlanetary File System (IPFS) with two key contributions: 1) Shamir's Secret Sharing (SSS) to create a trust-minimized model for key distribution, and 2) an authoritative-first, optimistic-fallback retrieval protocol utilizing a temporary middleware to decouple the user experience from blockchain confirmation delays. We implemented a full prototype and conducted a comprehensive performance evaluation on the public Sepolia testnet. Our results demonstrate that this architecture not only provides a secure, auditable, and resilient platform for source code hosting but also achieves highly competitive user-perceived performance. Our user-perceived push time reduces submission latency by up to 49% compared to a standard git push for common repository sizes, proving that a well-designed decentralized VCS can balance the core tenets of security and decentralization with the practical need for speed and efficiency.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】
【发表时间】2025
【收录时间】2025-09-22
【文献类型】
【影响因子】3.370
【主题类别】
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【Abstract】Blockchain technologies can play a core role in a wide variety of industries. Specialized tools (known by the umbrella term 'Blockchain Analytics') are increasingly used to search and explore blockchain ledgers for purposes of surveillance, prosecution, and risk mitigation. However, the development and use of blockchain analytics pose difficult ethical and social questions, concerning the privacy, security, and autonomy of blockchain transactors. Blockchain analytics could reshape the social uses of cryptocurrencies or other blockchain technologies in unpredictable ways. The ethical development of blockchain analytics requires sustained reflection and engagement with key stakeholder groups. We discuss challenges to responsible innovation in the blockchain analytics space and sketch the foundations for a framework for innovation that developers can use to assess and address social/ethical risks.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】Blockchain; analytics; cryptocurrency; responsible innovation
【发表时间】2025
【收录时间】2025-09-22
【文献类型】
【影响因子】3.310
【主题类别】
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【Abstract】Purpose An electronic health record (EHR) is a sensitive collection of data about the health of many people in a smart healthcare system. Because of the importance of persons in smart healthcare systems, an effective security architecture is critical for maintaining privacy in Electronic Health Records (EHRs) databases. EHRs are often stored on centralized servers, which increases the risk of security breaches and necessitates trust in a single authority that cannot adequately protect data from internal threats.Objectives This research focuses on protecting patient privacy and data security during sensitive data transmission between healthcare providers for diagnosis. This paper describes a methodology for developing a revolutionary decentralized, secure blockchain model and lightweight cryptosystem to improve EHR data security.Methods The EHR data are initially collected from the dataset, and the user transaction information is initialized for communication between multiple nodes. Here, the medical data are double encrypted using the Integrated ElGamal Hyper Elliptic cryptosystem (IntEH), whereas the public and private keys can be generated using an elliptic scheme to enhance the security of health data. For added protection, the encrypted data is held on the off-chain Inter Planetary File System (OIPFS) blockchain.Results For the proposed model, several performance measures are examined, including key generation time, execution time, encryption time, and throughput. Compared to other existing models, the proposed model can achieve a lower key generation time of 152 s for the healthcare dataset.Conclusion The analytical results show the performance of the proposed design, which reflects the proposed strategy, which gives a lower delay rate in milliseconds and a higher data loss ratio at various patient block counts.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】blockchain; data security; data transaction; electronic health records; encryption; hyper elliptic cryptosystem; integrated ElGamal; off-chain inter planetary file system
【发表时间】2025
【收录时间】2025-09-22
【文献类型】
【DOI】 10.1002/ett.70243
【Author】 He, Shaowei
【影响因子】2.742
【主题类别】
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【Abstract】While the blockchain technology is viewed to revolutionize the energy sector by its cryptography-based, open, and direct peer-to-peer energy trading (P2PET) from producer to consumer, the currernt paper focused on blockchain framework developed that allows for P2PET in the retail electricity market. The platform makes sure that there is proper supply demand matching, transaction streamlining, and increased need for direct interaction, hence reducing the need for brokers on the platform. Its design monitors the entire energy trading process, with smart contracts automating payments and transactions to ensure security and fairness. Tests in a private Ethereum environment demonstrate benefits like accurate market pricing, fair profit distribution, and better renewable energy integration. It also incentivizes the participation of stakeholders in the P2PET through high-value information on gas usage, introducing computational efficiency. Besides, this proposed model adopted consensus mechanism that would guarantee permanence, scalability, and robustness of transactions across multiple types of energy networks by adapting to different levels of transaction throughput.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】blockchain; peer-to-peer energy trading; retail electricity market; smart contract; renewable energy integration
【发表时间】2025
【收录时间】2025-09-22
【文献类型】
【DOI】 10.17531/ein/201172
【影响因子】2.420
【主题类别】
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【Abstract】This article presents a scalable computational solution for tracking agroclimatic data using IoT and blockchain technologies. The proposed system offers flexibility in configuring data collection intervals, supports data persistence in public and private blockchain networks, and incorporates a data encryption mechanism to optimize transaction costs. A modular architecture was designed based on the C4 model, enabling secure integration between IoT devices, backend services, and blockchain layers. The system supports soft real-time monitoring, characterized by low-latency data processing without strict timing guarantees, suitable for most agricultural applications. In contrast to existing IoT-blockchain approaches, our solution combines dual blockchain support, automated smart contract deployment, and traceability certification. The solution was evaluated through two distinct scenarios: a coffee plantation using a public blockchain and a sugarcane mill leveraging a private blockchain, demonstrating its versatility, cost-effectiveness, and operational scalability across diverse agricultural domains. The evaluations validated the system's ability to securely manage and trace agroclimatic data, while ensuring traceability and data integrity through blockchain-registered certificates. High test coverage results further reinforced the reliability and robustness of the implementation. All source code developed in this study is openly available at: https://github.com/WalSacramento/AgroMonitor-public
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】Soft real-time monitoring; Agricultural data management; Public blockchain; Private blockchain; Traceability certificates
【发表时间】2025
【收录时间】2025-09-22
【文献类型】
【Author】 Lan, Hairong Wang, Liukai Ning, Yuncai
【影响因子】1.634
【主题类别】
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【Abstract】Although the blockchain industry has attracted significant supportive policies and venture capital in recent years, existing research primarily focuses on technological developments and application scenarios, largely overlooking the industrial structure which is crucial to the investment development of the industry. To gain a nuanced understanding of the industrial structure and facilitate its investment management, this study examines 84 listed blockchain enterprises in China, from 2017 to 2022, exploring their industrial structure from the financial information-based network perspective. A novel industrial network, DTW-TMFG, is proposed to describe both the macro industrial structure and the micro corporate characteristics. The empirical findings reveal heterogeneous influence and dependence across blockchain firms, as well as the prominent geographical unevenness, characterised by the dominance of the developed East and the weakened West, among which Beijing and Guangdong Province have basically formed blockchain industry clusters. Furthermore, the proposed network structure demonstrates robustness against random attacks. Some strategic insights from these macro and micro findings are provided to help stakeholders take informed actions to foster industrial investment and ensure the stable development of the blockchain industry.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】Blockchain market; DTW-TMFG; industrial structure; network analysis; network topological characteristics
【发表时间】2025
【收录时间】2025-09-22
【文献类型】
【DOI】 10.1002/ijfe.70046
【Author】 Jayudu, T. Venkata Naga Sadineni, Giribabu Bhargav, Jajjara Jayaselvi, P. Sunitha, T. Kale, Masthan Rao
【影响因子】0.333
【主题类别】
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【Abstract】Mass spectrometry data processing and feature extraction are vital in drug analysis, particularly for ensuring drug quality and safety. These techniques allow for the detailed identification and quantification of chemical compounds within pharmaceutical products, supporting the detection of impurities, active ingredients, and potential contaminants. Data mining algorithms enhance this process by sifting through large datasets, identifying patterns, and extracting key features that are critical for quality control. Algorithms such as clustering, classification, and anomaly detection can isolate relevant data points, aiding in precise compound characterization. By automating the extraction of critical features from complex spectra, data mining facilitates faster and more accurate quality assessment, reducing human error and enhancing compliance with regulatory standards. This paper introduces Ethereum Blockchain Clustering (EBC) as a novel approach to drug quality assessment in the pharmaceutical industry. Leveraging the capabilities of blockchain technology and mass spectrometry data analysis, EBC offers a transparent and decentralized platform for managing and analyzing drug quality attributes. Through a series of simulations and case studies, we demonstrate the effectiveness of EBC in categorizing drug samples, extracting relevant features, and assessing their potency, purity, and stability. The results highlight the potential of EBC to enhance transparency, traceability, and trust within the pharmaceutical supply chain, ultimately contributing to improved patient safety and healthcare outcomes. in our simulations, we observe mean drug potency values ranging from 97.8% to 99.2%, mean drug purity values ranging from 95.1% to 97.8%, and mean drug stability ranging from 23.2 to 25.8 months across different scenarios and clusters. These results highlight the potential of EBC to enhance transparency, traceability, and trust within the pharmaceutical supply chain, ultimately contributing to improved patient safety and healthcare outcomes.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】Mass spectrometry; Data processing; Feature extraction; Drug quality; Blockchain; Clustering
【发表时间】2025
【收录时间】2025-09-22
【文献类型】