【Author】 Ng, S. C. H. Ho, G. T. S. Wu, C. H.

【Source】INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS

【影响因子】11.251

【主题类别】

区块链应用-实体经济-供应链

【Abstract】The literature on quality management system (QMS) assumes that product and process performance data are authentic and easily accessible. This assumption, while ideologically sound, is questionable in practise because the authenticity and accessibility of data cannot be guaranteed in many circumstances. Inaccurate, incomplete, inconsistent, and inaccessible data are common in supply chains and prevent the QMS from achieving its goal: assuring product and process quality to meet customer requirements. This study is one of the first to examine the impact of data quality and data latency on process control and quality analysis which are elemental parts of daily QMS activities, from a supply chain visibility (SCV) perspective. In this study, five propositions are made to show the relationships between technology, SCV, and data issues. More importantly, the study proposes a platform that integrates Blockchain (BC) technology, Industrial Internet of Things (IIoT), and Big Data to solve data problems in SCV and QMS. We further perform fuzzy association rule mining (FARM) to show how the platform can solve quality analysis problems and complete a closed-loop process control cycle in manufacturing. We also explain the contributions of the integrated platform to QMS from four theoretical perspectives. Finally, we discuss the limitations of the platform and provide recommendations for future research.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】Fuzzy association rule mining; Blockchain; IoT; Process control; Data analytics; Quality management

【发表时间】2023

【收录时间】2023-06-22

【文献类型】 实证数据

【DOI】 10.1016/j.ijpe.2023.108871

【Author】 Saporiti, Nicolo Cannas, Violetta Giada Pozzi, Rossella Rossi, Tommaso

【Source】INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS

【影响因子】11.251

【主题类别】

区块链技术-协同技术-数字孪生

【Abstract】Digital Twin (DT) implementation in manufacturing plants has attracted increasing attention. Owing to ad-vancements in the use of technologies related to Industry 4.0 pillars, such as the Internet of Things, Big Data analytics, and simulation, the potential of DTs to profoundly impact manufacturing has been recognised. However, DT implementation is challenging. In practice, manufacturing companies that consider DT imple-mentation may encounter several challenges, which can prevent the achievement of its potential benefits and impede its successful realization. Research on this topic lacks empirical evidence and models to guide practi-tioners to overcome this problem. Therefore, the aim of this study was to map the key challenges related to DT implementation in manufacturing contexts and propose a set of possible countermeasures. To achieve this objective, we conducted a Delphi study involving 15 experts, both practitioners and academics. The process required three rounds. In the first round, the experts were requested to provide a personalized list of potential challenges to DT implementation. In the second round, the experts evaluated the challenges from the literature and their suggested potential challenges, providing a measure of relevance. Furthermore, experts were asked to propose possible countermeasures to these challenges. Finally, a third round achieved consensus. The study identified 18 key challenges divided into four categories and proposed a set of possible countermeasures to overcome these problems. Moreover, a relevance/agreement matrix of the key challenges was proposed to establish a relative impact.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】Digital twin; Industry 4; 0; Internet of things; Data analytics; Simulation; Delphi study

【发表时间】2023

【收录时间】2023-06-22

【文献类型】 实证数据

【DOI】 10.1016/j.ijpe.2023.108888

【Author】 Xu, Biao Li, Hao Zhang, Xiaodan Alejandro, Thomas Brashear

【Source】JOURNAL OF BUSINESS RESEARCH

【影响因子】10.969

【主题类别】

区块链治理-市场治理-技术采用

【Abstract】The emerging blockchain technology has created many novel applications for platform operations in the sharing economy. This study develops an analytical model to assess whether two traditional platforms should utilize private blockchains as an operational strategy, and how their decisions depend on the technology's character-istics and market conditions. Results indicate that the difference in service quality between the two platforms plays a critical role in blockchain adoption decisions. Specifically, when the service quality difference is sig-nificant, the platform with high service quality should adopt blockchain technology, whereas the other platform should not. When the service quality difference is not significant, both platforms should make identical decisions. This study is the first to theoretically analyze price competition and blockchain adoption between two platforms with positive network effects, providing useful managerial implications for competitive platform operations of the sharing economy.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】Blockchain technology; Platform competition; Sharing economy; Network effects

【发表时间】2023

【收录时间】2023-06-22

【文献类型】 实证数据

【DOI】 10.1016/j.jbusres.2023.113953

【Author】 Ahmadisheykhsarmast, Salar Senji, Sina Golmohammadi Sonmez, Rifat

【Source】AUTOMATION IN CONSTRUCTION

【影响因子】10.517

【主题类别】

区块链应用-实体经济-建筑领域

【Abstract】Existing tendering methods for construction projects are centralized and rely on a third party's involvement during the process, hence, the methods raise critical concerns regarding data security, transparency, and traceability, as the bidders have to trust the organizer for the legitimacy and fairness of the process. This paper focuses on how the recent developments in decentralized blockchain technologies can be adopted for tendering of construction projects to improve the traditional process by eliminating intermediaries and ensuring transparency as well as data security. A novel, decentralized blockchain-based tendering system is presented for construction projects, leveraging (i) decentralized smart contracts to execute the tendering steps, including storage of the information throughout the process, management of the bid bonds, evaluation of the bids, and awarding of the contract according to the preset conditions, (ii) blockchain-integrated decentralized storage systems to exchange and store off-chain documents that are related to tendering, and (iii) decentralized application to facilitate the participants' interaction with the proposed system during the tendering process. The proposed system presents a new method for achieving a decentralized, secure, trustworthy, and transparent tendering environment among project participants. The outcomes of the system indicate the potential of future blockchain research for achieving autonomous and decentralized tendering sytems.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】Blockchain technologies; Smart contracts; Decentralized storage; Tendering; Construction projects

【发表时间】2023

【收录时间】2023-06-22

【文献类型】 理论模型

【DOI】 10.1016/j.autcon.2023.104900

【Author】 Cheng, Jack C. P. Liu, Hao Gan, Vincent J. L. Das, Moumita Tao, Xingyu Zhou, Shanjing

【Source】AUTOMATION IN CONSTRUCTION

【影响因子】10.517

【主题类别】

区块链应用-实体经济-建筑领域

【Abstract】Data accountability (i.e., data integrity and traceability) concerns existing construction cost management plat -forms due to the risk of data manipulation in a centralized paradigm. Blockchain is a promising technology that provides immutable and traceable data storage with a decentralized architecture. However, the transparency of blockchain conflicts with the confidentiality nature of cost information. Therefore, this paper presents a novel framework based on blockchain and encryption to preserve both data accountability and confidentiality in construction cost management. The proposed new framework involves the development of a cost data model containing the required confidential cost information to facilitate partially transparent recordings on the blockchain. An access control model based on symmetric and asymmetric encryption as well as proxy re-encryption mechanisms is developed to prevent unauthorized access to sensitive cost data on the blockchain and transfer data access in dynamic construction projects (i.e., construction projects involving new members continuously). Subsequently, encryption-integrated smart contracts are developed for automatic and secure cost activities on the blockchain. The framework is validated with a desirable latency (at the millisecond level), throughput (at the hundred level), and storage cost (at the MB level) in three illustrative cost management scenarios. The results indicate that project members can have accountable and confidential cost data for dispute resolution and cost analysis, respectively, as well as efficient cost data access transfer.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】Construction cost management; Data accountability; Data confidentiality; Blockchain; Encryption; Proxy re-encryption; Smart contracts

【发表时间】2023

【收录时间】2023-06-22

【文献类型】 理论模型

【DOI】 10.1016/j.autcon.2023.104841

【Author】 Risso, Lucas Antonio Ganga, Gilberto Miller Devos Godinho Filho, Moacir de Santa-Eulalia, Luis Antonio Chikhi, Tinhinane Mosconi, Elaine

【Source】COMPUTERS & INDUSTRIAL ENGINEERING

【影响因子】7.180

【主题类别】

区块链应用-实体经济-供应链

【Abstract】A growing number of papers addressing blockchain to supply chain management has been found, extending the range for scholars and practitioners aiming to comprehend the state of the art is in this emerging field. Thus, we depict the current state of the art of blockchain in supply chain management and identify the main gaps to be explored in order to advance knowledge in this interplay. We employ the systematic literature review approach in a review of reviews to look into 103 review papers found in peer-reviewed scientific journals currently assigned to Scopus or Web of Science databases. Our results extend the discussion through an integrative approach that embraces blockchain technology in the context of supply chain management from multiple perspectives, encompassing the interface between physical and virtual flows beyond one-step-back and one-stepforward scope. We also consider disruptive aspects of blockchain technology as an alternative to integrate different supply chain stakeholders and provide information sharing to support both process-monitoring and decision-making in different industries and segments.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】Meta -review; Umbrella review; Blockchain; Supply chain management

【发表时间】2023

【收录时间】2023-06-22

【文献类型】 综述

【DOI】 10.1016/j.cie.2023.109195

【Author】 Castiglione, Aniello Cimmino, Lucia Di Nardo, Mario Murino, Teresa

【Source】COMPUTERS & INDUSTRIAL ENGINEERING

【影响因子】7.180

【主题类别】

区块链应用-实体经济-循环经济

【Abstract】In a circular economy, the use of blockchain applied to different models like the waste management process leads to sustainable solutions alternative to the non-efficient linear economy. This study proposes a new methodology capable of optimizing the waste management process through an enabling technology: the blockchain. An innovative method that can increase monitoring while reducing the general costs of waste management is proposed. A blockchain system is developed for the control of urban waste. In addition, a reward mechanism is established for the citizens in terms of the levels of sorted waste produced and the working procedures of the agency that manages waste collection are optimized. A mathematical model that formalizes the problem for an optimal solution to minimize the costs of all the stakeholders involved in the Waste Management process is also developed. The characteristics that the proposed system allows are very important for the entire process of solid waste management. In fact, the adoption of the blockchain enables full traceability of the waste, ascertainability of each action, and the possibility that every customer can directly verify the information that is stored in the blockchain, such as the quantity of disposed waste, the amount of his reward and several additional data. Last but not least, the integrity of all stored records is fundamental in order to enforce the trust between the citizen and the Municipality that is in charge of dealing with solid waste management.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】Blockchain; Waste management; Circular economy; Smart city; Digital supply chain; Sustainability

【发表时间】2023

【收录时间】2023-06-22

【文献类型】 理论模型

【DOI】 10.1016/j.cie.2023.109263

【Author】 Rao, Sihang Chen, Fuqiao Hu, Wen Gao, Feng Huang, Jikun Yi, Hongmei

【Source】FOOD CONTROL

【影响因子】6.652

【主题类别】

区块链应用-实体经济-农牧领域

【Abstract】Blockchain-based traceability provides unforgeable and tamper-resistant traceability information, thus contrib-uting to a high-quality and safe food supply and alleviating consumers' increasing concerns about food quality and safety. There is scant literature analyzing consumers' valuation of blockchain-based traceability, although it matters for the application and development of this technology. We investigated the consumers' valuation of blockchain-based traceability in the tea industry in China. We conducted a randomized experiment to estimate the effect of the information intervention on consumers' valuation. Using data from 4017 respondents in six Chinese megacities collected from an online survey, we found that consumers valued blockchain-based trace-ability more than commonly-used quality assurance attributes, including conventional traceability and certifi-cation labels, and consumers viewed blockchain-based traceability and certification labels as substitutes. Furthermore, exposure to relevant knowledge increased their valuation of blockchain-based traceability. This was especially true for consumers valuing product quality and safety most and young, highly educated, and high -income consumers. We suggest stakeholders strengthen publicity to help consumers realize the value of blockchain-based traceability technology.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】Food quality and safety; Blockchain-based traceability; Certification; Consumers' valuation; Information intervention; Tea

【发表时间】2023

【收录时间】2023-06-22

【文献类型】 实证数据

【DOI】 10.1016/j.foodcont.2023.109827

【Author】 Jadav, Nilesh Kumar Kakkar, Riya Mankodiya, Harsh Gupta, Rajesh Tanwar, Sudeep Agrawal, Smita Sharma, Ravi

【Source】DIGITAL COMMUNICATIONS AND NETWORKS

【影响因子】6.348

【主题类别】

区块链技术-协同技术-IPFS

【Abstract】The rise of automation with Machine-Type Communication (MTC) holds great potential in developing Industrial Internet of Things (IIoT)-based applications such as smart cities, Intelligent Transportation Systems (ITS), supply chains, and smart industries without any human intervention. However, MTC has to cope with significant security challenges due to heterogeneous data, public network connectivity, and inadequate security mechanism. To overcome the aforementioned issues, we have proposed a blockchain and garlic-routing-based secure data exchange framework, i.e., GRADE, which alleviates the security constraints and maintains the stable connection in MTC. First, the Long-Short-Term Memory (LSTM)-based Nadam optimizer efficiently predicts the class label, i.e., malicious and non-malicious, and forwards the non-malicious data requests of MTC to the Garlic Routing (GR) network. The GR network assigns a unique ElGamal encrypted session tag to each machine partaking in MTC. Then, an Advanced Encryption Standard (AES) is applied to encrypt the MTC data requests. Further, the InterPlanetary File System (IPFS)-based blockchain is employed to store the machine's session tags, which increases the scalability of the proposed GRADE framework. Additionally, the proposed framework has utilized the indispensable benefits of the 6G network to enhance the network performance of MTC. Lastly, the proposed GRADE framework is evaluated against different performance metrics such as scalability, packet loss, accuracy, and compromised rate of the MTC data request. The results show that the GRADE framework outperforms the baseline methods in terms of accuracy, i.e., 98.9%, compromised rate, i.e., 18.5%, scalability, i.e., 47.2%, and packet loss ratio, i.e., 24.3%.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】Garlic routing; Blockchain; I2P; LSTM; Arti ficial intelligence; Onion routing

【发表时间】2023

【收录时间】2023-06-22

【文献类型】 实验仿真

【DOI】 10.1016/j.dcan.2022.11.004

【Author】 Huang, Hongcheng Ye, Peixin Hu, Min Wu, Jun

【Source】DIGITAL COMMUNICATIONS AND NETWORKS

【影响因子】6.348

【主题类别】

区块链应用-实体经济-工业互联网

【Abstract】Nowadays, a large number of intelligent devices involved in the Industrial Internet of Things (IIoT) environment are posing unprecedented cybersecurity challenges. Due to the limited budget for security protection, the IIoT devices are vulnerable and easily compromised to launch Distributed Denial-of-Service (DDoS) attacks, resulting in disastrous results. Unfortunately, considering the particularity of the IIoT environment, most of the defense solutions in traditional networks cannot be directly applied to IIoT with acceptable security performance. Therefore, in this work, we propose a multi-point collaborative defense mechanism against DDoS attacks for IIoT. Specifically, for the single point DDoS defense, we design an edge-centric mechanism termed EdgeDefense for the detection, identification, classification, and mitigation of DDoS attacks and the generation of defense information. For the practical multi-point scenario, we propose a collaborative defense model against DDoS attacks to securely share the defense information across the network through the blockchain. Besides, a fast defense information sharing mechanism is designed to reduce the delay of defense information sharing and provide a responsive cybersecurity guarantee. The simulation results indicate that the identification and classification performance of the two machine learning models designed for EdgeDefense are better than those of the state-of-the-art baseline models, and therefore EdgeDefense can defend against DDoS attacks effectively. The results also verify that the proposed fast sharing mechanism can reduce the propagation delay of the defense information blocks effectively, thereby improving the responsiveness of the multi-point collaborative DDoS defense.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】Industrial internet of things (IIoT); DDoS; Deep learning; Blockchain; Edge computing

【发表时间】2023

【收录时间】2023-06-22

【文献类型】 观点阐述

【DOI】 10.1016/j.dcan.2022.04.008

【Author】 Selvarajan, Shitharth Mouratidis, Haris

【Source】SCIENTIFIC REPORTS

【影响因子】4.996

【主题类别】

区块链应用-实体经济-医疗领域

【Abstract】Many researchers have been interested in healthcare cybersecurity for a long time since it can improve the security of patient and health record data. As a result, a lot of research is done in the field of cybersecurity that focuses on the safe exchange of health data between patients and the medical setting. It still has issues with high computational complexity, increased time consumption, and cost complexity, all of which have an impact on the effectiveness and performance of the complete security system. Hence this work proposes a technique called Consultative Transaction Key Generation and Management (CTKGM) to enable secure data sharing in healthcare systems. It generates a unique key pair based on random values with multiplicative operations and time stamps. The patient data is then safely stored in discrete blocks of hash values using the blockchain methodology. The Quantum Trust Reconciliation Agreement Model (QTRAM), which calculates the trust score based on the feedback data, ensures reliable and secure data transfer. By allowing safe communication between patients and the healthcare system based on feedback analysis and trust value, the proposed framework makes a novel contribution to the field. Additionally, during communication, the Tuna Swarm Optimization (TSO) method is employed to validate nonce verification messages. Nonce message verification is a part of QTRAM that helps verify the users during transmission. The effectiveness of the suggested scheme has been demonstrated by comparing the obtained findings with other current state-of-the-art models after a variety of evaluation metrics have been analyzed to test the performance of this security model.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】

【发表时间】2023

【收录时间】2023-06-22

【文献类型】 理论模型

【DOI】 10.1038/s41598-023-34354-x

【Author】 Sharma, Prakash Chandra Mahmood, Md Rashid Raja, Hiral Yadav, Narendra Singh Gupta, Brij B. Arya, Varsha

【Source】COMPUTERS & ELECTRICAL ENGINEERING

【影响因子】4.152

【主题类别】

区块链应用-实体经济-工业互联网

【Abstract】Blockchain (BC) technology has overtaken Industrial Internet of Things (IIoT) platforms. It is necessary to explore efficient implementation. Fault tolerance, decentralised control, authenti-cation, cryptographic security, immutability, data integrity, and BC smart contracts are recom-mended IIoT features. If entities are authenticated and trusted, the internet can be used for industrial activities. Despite several methods, communication is insecure due to scalability, dependability, latency, insufficient transmission security, and uneven data loads. The paper created safe User authentication and optimal BC node selection using AFHENN (Fully Homo-morphic encryption neural network) for IIoT to solve the problem. Mutual authentication, se-crecy, and integrity protect user data. A registration process secures new User authentication. To protect registered data, it uses cryptographic methods like Transient key congruential generator based Elliptic curve cryptography (TKCG-ECC) and Dual keyed Cipolla's Extended Euclidean Algorithm based lattice cryptosystem (DKCEED-LC). To access BCN, the gateway verifies regis-tered users utilising keyed-based Zero Knowledge of Proof (k-ZKP) and Approximation Fully Homomorphic encryption neural network-based Blockchain. Finally, Approximation Fully Ho-momorphic encryption neural network-based Blockchain networking authenticates data (AFHENN-BCN). The BCN avoids legal selection of miner nodes and harmful activities. Compared to top techniques, the proposed work achieves improved throughput and PDR (Packet Delivery Ratio) values with minimal computing time and strong security.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】Security; Industrial internet of things; Elliptic curve cryptographycipolla's extended; euclidean algorithm based lattice cryptosystem; Homomorphic encryption neural network; Blockchain

【发表时间】2023

【收录时间】2023-06-22

【文献类型】 理论模型

【DOI】 10.1016/j.compeleceng.2023.108703

【Author】 Kanokphanvanich, Chayada Rattanawong, Wanchai Vongmanee, Varin

【Source】SUSTAINABILITY

【影响因子】3.889

【主题类别】

区块链治理-市场治理-技术采用

【Abstract】The pandemic crisis and the resulting global uncertainties have obviously had a severe impact on the healthcare supply chain (HSC), leading scholars, healthcare executives, and policymakers to focus on the sustainability of the HSC. Technologies have emerged and developed rapidly in recent years, especially in the healthcare industry, for coping with the pandemic crisis and supporting the "new normal" for humankind. Within this context, various new technologies have been implemented to maximize the supply chain process, ensure patient and healthcare worker safety, and improve the quality of care. Hence, the integration of a technological dimension with the traditional three pillars of sustainability may aid in attempts to define the potential attributes of these dimensions of sustainability. Therefore, this study aimed to identify the key attributes of a sustainable healthcare supply chain (SHSC), and this paper presents a new, four-dimensional model for SHSCs, consisting of social, environmental, economic, and technological dimensions. A systematic literature review was conducted, resulting in the identification of 35 potential SHSC attributes. The Fuzzy Delphi Method (FDM) was then applied to determine the appropriateness of these potential attributes according to the consensus of 13 experts, including healthcare workers in a variety of medical specialties, who profoundly understand HSC sustainability. The results yielded 22 appropriate attributes, which were then categorized across the four dimensions. Consequently, a new model of an SHSC, which prioritizes patient safety, was constructed and is proposed here. This SHSC model can be applied strategically to the healthcare industry to enhance the safety of both medical personnel and patients in a sustainable manner.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】healthcare supply chain; supply chain sustainability; Fuzzy Delphi Method; healthcare management; patient safety; healthcare worker safety; COVID-19; technology

【发表时间】2023

【收录时间】2023-06-22

【文献类型】 实证数据

【DOI】 10.3390/su15097123

【Author】 Tosic, Aleksandar Vicic, Jernej Burnard, Michael Mrissa, Michael

【Source】SENSORS

【影响因子】3.847

【主题类别】

区块链技术-协同技术-物联网

【Abstract】The Internet of Things (IoT) is experiencing widespread adoption across industry sectors ranging from supply chain management to smart cities, buildings, and health monitoring. However, most software architectures for the IoT deployment rely on centralized cloud computing infrastructures to provide storage and computing power, as cloud providers have high economic incentives to organize their infrastructure into clusters. Despite these incentives, there has been a recent shift from centralized to decentralized architectures that harness the potential of edge devices, reduce network latency, and lower infrastructure costs to support IoT applications. This shift has resulted in new edge computing architectures, but many still rely on centralized solutions for managing applications. A truly decentralized approach would offer interesting properties required for IoT use cases. In this paper, we introduce a decentralized architecture tailored for large-scale deployments of peer-to-peer IoT sensor networks and capable of run-time application migration. We propose a leader election consensus protocol for permissioned distributed networks that only requires one series of messages in order to commit to a change. The solution combines a blockchain consensus protocol using Verifiable Delay Functions (VDF) to achieve decentralized randomness, fault tolerance, transparency, and no single point of failure. We validate our solution by testing and analyzing the performance of our reference implementation. Our results show that nodes are able to reach consensus consistently, and the VDF proofs can be used as an entropy pool for decentralized randomness. We show that our system can perform autonomous real-time application migrations. Finally, we conclude that the implementation is scalable by testing it on 100 consensus nodes running 200 applications.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】fault tolerance; blockchain; Internet of Things; edge computing; peer-to-peer; decentralized; sensor networks; verifiable delay functions

【发表时间】2023

【收录时间】2023-06-22

【文献类型】 理论模型

【DOI】 10.3390/s23094448

【Author】 Qamar, Shamimul

【Source】SOFT COMPUTING CCF-C

【影响因子】3.732

【主题类别】

区块链应用-实体经济-医疗领域

【Abstract】The Internet of Things (IoT) has made significant progress in the dissemination of healthcare data and corresponding mandatory actions in today's world, where internet methods operate to automate and computerize numerous commercial as well as domestic applications. Data integrity and healthcare data distribution among privacy intermediate nodes are two major issues in the current scenario. Data must be encrypted to safeguard the confidentiality of sensitive data transferred between nodes, particularly healthcare-related data records. With the help of a trust modeling m-health application, these studies propose a novel method for medical image classification using cyber block chain Ccoud module-based image encryption. The medical image has been collected here, processed to remove noise, and the image has been resized. Using a fast convolution neural network (Fa_ConVolNet), this image has been classified. Then, the IoT cyber blockchain module-based Lorenz-Chaotic Encryption was used to encrypt this classified image. Machine learning and security analysis are used in the classification phase of parametric analysis. Accuracy, precision, recall, f-1 score, data security rate, PSNR, MSE, encryption time, and decryption time are the parameters analysed. It is also longer-lasting and more effective. Classification results obtained by proposed methodisexactness of 98%, correctness of 93%, recall of 92%, f-measure of 94% and network security analysis in terms of data security rate of 93%, PSNR of 77%, MSE of 78%, encryption time of 63 ms, decryption timeof 61 ms as.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】m-health application; Machine learning; Trust modelling; Cyber blockchain; Cloud module; Image encryption

【发表时间】2023

【收录时间】2023-06-22

【文献类型】 实验仿真

【DOI】 10.1007/s00500-023-08145-5

【Author】 Lee, Chi-Chuan Yu, Chin-Hsien Zhang, Jian

【Source】INTERNATIONAL REVIEW OF ECONOMICS & FINANCE

【影响因子】3.399

【主题类别】

区块链治理-市场治理-数字货币

【Abstract】With the rapid development of cryptocurrencies and the increasing importance of environmen-tally friendly investments, their environmental impacts have become a new research area in financial economics. Thus, this study examines the heterogeneous causal relationships among cryptocurrencies, green bonds, and sustainable equities from July 31, 2014, to August 11, 2022. The use of Granger-causality in quantiles analysis allows us to assess causality in each quartile and provides insights into how the three investment instruments interact under different market conditions. The results reveal the existence of strong tail dependence between green bonds, sustainable equities, and cryptocurrency, indicating two-way Granger-causality among them.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】Cryptocurrency; Green bond; Sustainable equity; Granger -causality

【发表时间】2023

【收录时间】2023-06-22

【文献类型】 实证数据

【DOI】 10.1016/j.iref.2023.04.027

【Author】 Yang, Tianjian Li, Chunmei Bian, Zijing

【Source】PROCESSES

【影响因子】3.352

【主题类别】

区块链治理-市场治理-技术采用

【Abstract】Remanufacturing has been regarded as a key to the sustainable development of enterprises. However, collection strategies affect the remanufacturing and recycling of used products. Blockchain can ensure the authenticity of disclosed information and improve the consumer's trust in remanufactured products. Inspired by this, this paper develops a game-theoretic model to examine the selection of different recycling strategies in the remanufacturing supply chain considering blockchain adoption and uncertain demand. Incumbent collector 1 provides the manufacturer with used product 1 for remanufacturing product 1. For product 2, the manufacturer has two different collection strategies: in-house collection by the manufacturer or external collection by collector 2. The collectors act as the channel leader, and the manufacturer, who has private demand information, is the follower. Results show that collectors are incentivized to participate in the blockchain. If there is no blockchain, collector 1 prefers external collection. In the case of blockchain, the manufacturer prefers external collection when the demand variance is low. The manufacturer's decision on the in-house collection and external collection depends on the coefficient of collection investment costs.

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【Keywords】remanufacturing; blockchain; collection channel; recycling strategies; uncertain demand; game theory

【发表时间】2023

【收录时间】2023-06-22

【文献类型】 实证数据

【DOI】 10.3390/pr11051426

【Author】 Yuan, Weihan Li, Xiaoya Li, Mingyue Zheng, Liudong

【Source】APPLIED SCIENCES-BASEL

【影响因子】2.838

【主题类别】

区块链技术-协同技术-物联网

【Abstract】Cross-domain authentication requires that there is no trust gap between different trust domains that can cause cross-domain devices to exceed the security control scope of the original trust domain and further expose cross-domain authentication systems to security threats. In addition, as relying on the traditional cross-domain authentication means built by centralized institutions cannot meet the data security needs in a big data environment. Therefore, it is necessary to design a secure dynamic cross-domain authentication scheme. In this paper, we propose a dynamic cross-domain authentication scheme (DCAGS-IoT) in the Internet of Things environment using the group signature technology and the distributed system architecture of blockchain. Specifically aiming at the problem of increasing and revoking users in dynamic cross-domain authentication, a user update algorithm with the complexity of O (logN) was designed to manage users in the trust domain. Moreover, we used the characteristics that group signature users can sign on behalf of a group to protect the users' privacy and track suspicious users. Since the size of the signature generated by the scheme is independent of the number of group members N and only depends on the security parameters ?, the efficiency of the protocol implementation is improved, and the security and availability of the authentication scheme are guaranteed.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】Internet of Things; privacy protection; dynamic cross-domain authentication; group signature; blockchain

【发表时间】2023

【收录时间】2023-06-22

【文献类型】 理论模型

【DOI】 10.3390/app13105847

【Author】 Wang, Zuhao Yu, Yanhua Liu, Di Li, Wenjing Xiong, Ao Song, Yu

【Source】ELECTRONICS

【影响因子】2.690

【主题类别】

区块链技术-平台项目-Hyperledger Fabric

【Abstract】The emergence of computing power networks has improved the flexibility of resource scheduling. Considering the current trading scenario of computing power and network resources, most resources are no longer subject to change after being allocated to users until the end of the lease. However, this practice often leads to idle resources during resource usage. To optimize resource allocation, a trading mechanism is needed to encourage users to sell their idle resources. The Myerson auction mechanism precisely aims to maximize the seller's benefits. Therefore, we propose a resource allocation scheme based on the Myerson auction. In the scenario of the same user bidding distribution, we first combine the Myerson auction with Hyperledger Fabric by introducing a reserved price, which creates conditions for the application of blockchain in auction scenarios. Regarding different user bidding distributions, we propose a Myerson auction network model based on clustering algorithms, which makes the auction adaptable to more complex scenarios. The experimental findings show that the revenue generated by the auction model in both scenarios is significantly higher than that of the traditional sealed bid second-price auction, and can approach the expected revenue in the real Myerson auction scenario.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】resource allocation; auction mechanism; blockchain; deep learning; clustering algorithm

【发表时间】2023

【收录时间】2023-06-22

【文献类型】 理论模型

【DOI】 10.3390/electronics12091990

【Author】 Aluvalu, Rajanikanth Kumaran, Senthil Thirumalaisamy, Manikandan Basheer, Shajahan Aldhahri, Eman Ali Selvarajan, Shitharth

【Source】PEERJ COMPUTER SCIENCE

【影响因子】2.411

【主题类别】

区块链应用-实体经济-通信领域

【Abstract】In the medical era, wearables often manage and find the specific data points to check important data like resting heart rate, ECG voltage, SPO2, sleep patterns like length, interruptions, and intensity, and physical activity like kind, duration, and levels. These digital biomarkers are created mainly through passive data collection from various sensors. The critical issues with this method are time and sensitivity. We reviewed the newest wireless communication trends employed in hospitals using wearable technology and privacy and Block chain to solve this problem. Based on sensors, this wireless technology controls the data gathered from numerous locations. In this study, the wearable sensor contains data from the various departments of the system. The gradient boosting method and the hybrid microwave transmission method have been proposed to find the location and convince people. The patient health decision has been submitted to hybrid microwave transmission using gradient boosting. This will help to trace the mobile phones using the calls from the threatening person, and the data is gathered from the database while tracing. From this concern, the data analysis process is based on decision-making. They adapted the data encountered by the detailed data in the statistical modeling of the system to produce exploratory data analysis for satisfying the data from the database. Complete data is classified with a 97% outcome by removing unwanted data and making it a 98% successful data classification.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】Blockchain; Data management; Gradient boosting; Hybrid microwave transmission; Wireless technology

【发表时间】2023

【收录时间】2023-06-22

【文献类型】 实验仿真

【DOI】 10.7717/peerj-cs.1308

【Author】 Kandasamy, Manivel Anto, S. Baranitharan, K. Rastogi, Ravi Satwik, Gunda Sampathkumar, A.

【Source】JOURNAL OF SENSORS

【影响因子】2.336

【主题类别】

区块链应用-实体经济-电力领域

【Abstract】Low-cost monitoring and automation solutions for smart grids have been made viable by recent advancements in embedded systems and wireless sensor networks (W.S.N.s). A well-designed smart network of subsystems and metasystems known as a "smart grid" is aimed at enhancing the conventional power grid's efficiency and guaranteeing dependable energy delivery. A smart grid (S.G.) requires two-way communication between utility providers and end users in order to accomplish its aims. This research proposes a novel technique in enhancing the smart grid security and industry fault detection using a wireless sensor network with deep learning architectures. The smart grid network security has been enhanced using a blockchain-based smart grid node routing protocol with IoT module. The industrial analysis has been carried out based on monitoring for fault detection in a network using Q-learning-based transfer convolutional network. The experimental analysis has been carried out in terms of bit error rate, end-end delay, throughput rate, spectral efficiency, accuracy, M.A.P., and RMSE. The proposed technique attained bit error rate of 65%, end-end delay of 57%, throughput rate of 97%, spectral efficiency of 93%, accuracy of 95%, M.A.P. of 55%, and RMSE of 75%. This proposed paradigm is advantageous for the operation of smart grids for increased security and industrial fault detection across the network because security is the biggest barrier in smart grid implementation.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】

【发表时间】2023

【收录时间】2023-06-22

【文献类型】 实验仿真

【DOI】 10.1155/2023/3806121

【Author】 Shankar, K. C. Prabu Shyry, S. Prayla

【Source】INTERNATIONAL JOURNAL OF UNCERTAINTY FUZZINESS AND KNOWLEDGE-BASED SYSTEMS

【影响因子】1.027

【主题类别】

区块链应用-实体经济-医疗领域

【Abstract】The future holds the possibility of hospitals sharing medical images obtained through non-invasive systems to patients remotely. The advent of cloud and the storage and deployment of medical healthcare images in the cloud has resulted in the increased need for application of Cryptographic techniques to protect them from unauthorized access and malicious attacks. The Digital Imaging and Communication in Medicine (DICOM) standard is more compatible across medical imaging instruments globally. The pixel data of DICOM images requires more privacy and security. A novel ECDS based cryptographic approach is suggested to encrypt the original DICOM image as well as the ROI pixel data extracted from DICOM images. Results computed experimentally have proved that medical image encryption via ECDH is more robust, efficient and faster than existing medical image encryption schemes.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】Blockchain; cloud; DICOM; PACS; ROI; ECDSA; JPEG-XL

【发表时间】2023

【收录时间】2023-06-22

【文献类型】 理论模型

【DOI】 10.1142/S0218488523400081