【Author】 Kazancoglu, Yigit Ozbiltekin-Pala, Melisa Sezer, Muruvvet Deniz Luthra, Sunil Kumar, Anil

【Source】BUSINESS STRATEGY AND THE ENVIRONMENT

【影响因子】10.801

【主题类别】

区块链应用-实体经济-供应链

【Abstract】COVID-19, which is a global problem, affects the all supply chains throughout the world. One of the supply chains most affected by COVID-19 is food supply chains. Since the sustainable food supply chain processes are complex and vulnerable in terms of product variety, it has been negatively affected by the operational effects of COVID-19. While the problems experienced in the supply chain processes and raw material constraints caused stops in production, the importance of new business models and production approaches came to the fore. One of the issues of increasing importance is the adoption of reverse logistics activities in sustainable food supply chains and increasing the resilience of food supply chains by integrating blockchain technology into processes. However, adapting blockchain technology to increase the resilience of reverse logistics activities in the food supply chain has advantages as well as risks that need to be considered. Therefore, it is aimed to determine these risks by using fuzzy synthetic evaluation method for eliminating the risks of blockchain adaptation for flexible reverse logistics in food supply chains to increase resiliency. The novelty of this study is that besides discussing about the benefits of BC-T, it is to identify the risks it can create, to eliminate these risks and to guide the establishment of resilience in reverse logistics activities of SFSCs. According to results, the risks with the highest value among the subrisks are determined as data security risks. Data management risks are calculated as the risk with the highest value.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】blockchain technology; resilience; reverse logistics; sustainable food supply chain

【发表时间】

【收录时间】2022-09-26

【文献类型】 实证数据

【DOI】 10.1002/bse.3251

【Author】 Qammar, Attia Karim, Ahmad Ning, Huansheng Ding, Jianguo

【Source】ARTIFICIAL INTELLIGENCE REVIEW

【影响因子】9.588

【主题类别】

区块链技术-协同技术-联邦学习

【Abstract】Federated learning (FL) is a promising framework for distributed machine learning that trains models without sharing local data while protecting privacy. FL exploits the concept of collaborative learning and builds privacy-preserving models. Nevertheless, the integral features of FL are fraught with problems, such as the disclosure of private information, the unreliability of uploading model parameters to the server, the communication cost, etc. Blockchain, as a decentralized technology, is able to improve the performance of FL without requiring a centralized server and also solves the above problems. In this paper, a systematic literature review on the integration of Blockchain in federated learning was considered with the analysis of the existing FL problems that can be compensated. Through carefully screening, most relevant studies are included and research questions cover the potential security and privacy attacks in traditional federated learning that can be solved by blockchain as well as the characteristics of Blockchain-based FL. In addition, the latest Blockchain-based approaches to federated learning have been studied in-depth in terms of security and privacy, records and rewards, and verification and accountability. Furthermore, open issues related to the combination of Blockchain and FL are discussed. Finally, future research directions for the robust development of Blockchain-based FL systems are proposed.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】Federated learning; Blockchain; Security; Privacy; Blockchain-based FL; Systematic literature review

【发表时间】

【收录时间】2022-09-26

【文献类型】 综述

【DOI】 10.1007/s10462-022-10271-9

【Author】 Feng, Hailin Chen, Dongliang Lv, Zhihan

【Source】IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS CCF-B

【影响因子】9.551

【主题类别】

区块链应用-实体经济-交通领域

【Abstract】The purpose of this exploration of blockchain in vehicle management based on Digital Twins in Vehicular Adhoc Networks (VANETs) is to further improve intelligent transportation in smart cities. In view of the complexity of pedestrians in the real road network, the Digital Twins (DTs) technology is used to map the traffic situation in the real road network to the virtual space. Furthermore, the concrete interaction of vehicle data information is stored and transmitted by using blockchain technology. Finally, the DTs model of vehicle-mounted Ad Hoc network based on blockchain is constructed, and its performance is analyzed by simulation. The results suggest that the model algorithm adopted in this work shows a lower average delay time, its data message delivery rate is basically stable at 80%, the data message leakage rate is basically stable at approximately 10%, and the communication overhead does not exceed 700 bytes. Therefore, the in-vehicle self-organizing network model constructed in this work shows high network security performance while ensuring low latency performance, enabling information to interact more efficiently. Therefore, it can provide an experimental basis for the intelligent development and safety performance improvement of the transportation field of smart cities.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】Blockchains; Roads; Transportation; Digital twins; Smart cities; Safety; Analytical models; Vehicular adhoc networks (VANETs); digital twins; blockchain; virtual space; vehicle management

【发表时间】

【收录时间】2022-09-26

【文献类型】 理论模型

【DOI】 10.1109/TITS.2022.3202439

【Author】 Kucukaltan, Berk Kamasak, Rifat Yalcinkaya, Baris Irani, Zahir

【Source】INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH

【影响因子】9.018

【主题类别】

区块链治理-元分析-主题识别

【Abstract】Blockchain has gained momentum as a disruptive technology in supply chain management against its introduction as a finance-related instrument. Nevertheless, the developing academic understanding and the limited practical implications lead to insufficient insights into the use of blockchain technology, particularly in the supply chain finance (SCF) domain. Thus, the expected potential of blockchain technology remains underexplored. Accordingly, this study explicates this situation by examining the extant literature findings and web-based big data that can provide evidence about the real needs in supply chains, and investigating how blockchain emerges as a disruptive SCF-oriented technology. The study employs a web analytics method, Search Engine Results Page (SERP) analysis which considers the trends in blockchain technology use and the interactions between blockchain, supply chain and finance appearing in Google searches. The SERP method examined real-time clicks, web traffics and most commonly asked questions about blockchain. The SERP findings revealed that the interest in blockchain technology neither focused on finance nor data privacy as emphasised in the literature but mainly on the benefits of increasing digitalisation and efficiency in supply chains. The results offered practical implications for capturing recent blockchain- and supply chain-related trends and designing more digital and efficient supply chains.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】Blockchain; search engine results page (SERP); supply chain finance; web analytics; web traffic

【发表时间】

【收录时间】2022-09-26

【文献类型】 实证数据

【DOI】 10.1080/00207543.2022.2118886

【Author】 Abbate, Stefano Centobelli, Piera Cerchione, Roberto Oropallo, Eugenio Riccio, Emanuela

【Source】IEEE TRANSACTIONS ON ENGINEERING MANAGEMENT

【影响因子】8.702

【主题类别】

区块链治理-元分析-领域分析

【Abstract】The impact of technological innovation on the healthcare sector is becoming increasingly significant, and the number of studies exploring this topic is rising rapidly. However, studies on the digital transition of healthcare services are still a challenge, both from a theoretical and managerial perspective. In this context, knowledge management discipline can guide the evolving environment to cover this research gap. Indeed, the digital transition is transforming how healthcare professionals access data, handle information, and manage knowledge by adopting 4.0 enabling technologies. Thus, drawing on the SECI model, this study aims to investigate the healthcare sector's technological innovation through a knowledge management perspective, and evaluate the impact of 4.0 technologies on knowledge creation processes (i.e., socialization, externalization, combination, internalization) in the healthcare domain. Finally, the article investigates the critical areas of the digital transition, and the future research directions that remain to be addressed.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】Medical services; Systematics; Knowledge management; Solid modeling; Medical diagnostic imaging; Blockchains; Big Data; Digital transformation; digitalization; enabling technologies; healthcare 4; 0; knowledge creation; knowledge management; SECI model; technological innovation

【发表时间】

【收录时间】2022-09-26

【文献类型】 实证数据

【DOI】 10.1109/TEM.2022.3200889

【Author】 An, Yufei He, Ying Yu, F. Richard Li, Jianqiang Chen, Jianyong Leung, Victor C. M.

【Source】IEEE TRANSACTIONS ON COGNITIVE COMMUNICATIONS AND NETWORKING

【影响因子】6.359

【主题类别】

区块链技术-协同技术-物联网

【Abstract】The prompt expansion of the Internet of Things (IoT) and its wide application in smart homes and transportation has brought tremendous convenience to people's lives. However, the increase of IoT devices has also brought huge security problems, threatening people's information and property security. This paper designs a new anomaly detection architecture based on the concept of the "Internet of intelligence". It is a general architecture that can be applied to different IoT anomaly detection methods. The architecture effectively combines the blockchain and the IoT anomaly detection method, which can overcome the problems of data resource sharing and collective learning. At the same time, we propose a novel method for detecting abnormal HTTP traffic in IoT. It combines clustering and Autoencoder method to efficiently and exactly detect abnormal HTTP traffic in IoT devices. In addition, we propose an optimized feature extraction method, which is favorable to enhance the detection effect. Simulation results show the proposed architecture and method can enhance the detection performance of abnormal HTTP traffic in IoT and address the challenges of existing approaches.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】Internet of Things (IoT); blockchain; intelligence sharing; abnormal HTTP traffic

【发表时间】2022

【收录时间】2022-09-26

【文献类型】 理论模型

【DOI】 10.1109/TCCN.2022.3176636

【Author】 Godyn, Mateusz Kedziora, Michal Ren, Yingying Liu, Yongxin Song, Houbing Herbert

【Source】SCIENTIFIC REPORTS

【影响因子】4.996

【主题类别】

区块链治理-法律治理-区块链监管制度

【Abstract】The aim of this paper was to perform an analysis of the state-of-the-art solutions of the permissioned blockchain compliance with the General Data Protection Regulation (GDPR), including the implementation of one of the analyzed methods and the own solution. This paper covers the subject of GDPR and its impact on already existing blockchain databases to determine the domain of the problem, including the necessity to introduce mutability in the data structure to comply with the "right to be forgotten". The performed analysis made it possible to discuss current research in technical terms as well as in the regulation itself. In the experimental part, attempts were made to research and implement the Reference-based Tree Structure (RBTS), including the performance tests. The proposed solution is efficient and easily reproducible. The deletion of unwanted content is quick and requires consent only from the owner of personal data; therefore, eliminating the dependency on the other blockchain network participants.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】

【发表时间】2022

【收录时间】2022-09-26

【文献类型】 实验仿真

【DOI】 10.1038/s41598-022-19341-y

【Author】 Tariq, Aamna Haq, Hina Binte Ali, Syed Taha

【Source】IEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS

【影响因子】4.747

【主题类别】

区块链应用-实体经济-教育领域

【Abstract】Credential fraud is a widespread practice that undermines investment and confidence in higher education systems and bears significant economic and social costs. Legacy credential verification systems are typically time-consuming, costly, and bureaucratic, and struggle against certain classes of credential fraud. In this article, we propose a comprehensive blockchain-based credential verification solution, Cerberus, which is considerably more efficient, easy, and intuitive to use, and effectively mitigates widespread manifestations of credential fraud. Cerberus also improves significantly upon other blockchain-based solutions in the research literature: it adheres closely to the existing credential verification ecosystem and addresses real-world fraud scenarios. Moreover, Cerberus uses on-chain smart contracts for credential revocation, and it does not entail students or employers to manage digital identities or cryptographic credentials to use the system. We prototype our solution and describe our attempt to design an online verification service with a rich feature set, including data privacy, transcript verification, and selective disclosure of data. We hope this effort contributes positively to alleviating the problem of fake credentials.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】Fraud; Accreditation; Education; Ecosystems; Blockchains; Medical services; Investment; Accreditation; blockchain; credential fraud

【发表时间】

【收录时间】2022-09-26

【文献类型】 理论模型

【DOI】 10.1109/TCSS.2022.3188453

【Author】 Gaba, Priyanka Raw, Ram Shringar

【Source】PEER-TO-PEER NETWORKING AND APPLICATIONS CCF-C

【影响因子】3.488

【主题类别】

区块链应用-实体经济-交通领域

【Abstract】VANET, a type of MANET allows vehicles to connect and communicate information with their peers. In today's era, the number of connected vehicles is growing intending to make life easier and more luxurious. However, with the advancements and demand for connected vehicles, there is a necessity to rethink the trustworthiness and safety of the data transmitted by the vehicles. The malicious vehicles may send incorrect information to peer vehicles just for the sake of their benefit. Data validation issues as well as issues like Authentication, Non-repudiation, Integrity, and Reliability related to VANET, are also addressed in this paper using Blockchain technology. B-VANET, a system that is the amalgamation of blockchain with VANET is proposed in this paper. Blockchain a peer-to-peer, decentralized, open distributed ledger technology is applied with VANET to make the network secure. Another major issue is the lack of interest in vehicles to forwarding messages is also addressed in this paper. To resolve this issue, a motivation-demotivation mechanism is embedded which will give incentives to all the involved vehicles in correct message communication and validation. The proposed B-VANET is implemented on the Hyperledger fabric platform and the performance of B-VANET is analyzed using the Hyperledger Caliper tool. B-VANET ensures that the network will not accept the fake messages and will not propagate them further which if propagated will affect the system adversely.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】VANET; Connected Vehicles; Blockchain; B-VANET; Hyperledger Fabric; Hyperledger Caliper

【发表时间】

【收录时间】2022-09-26

【文献类型】 理论模型

【DOI】 10.1007/s12083-022-01375-8

【Author】 Gardas, Bhaskar B. Heidari, Arash Navimipour, Nima Jafari Unal, Mehmet

【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】The broad availability of connected and intelligent devices has increased the demand for Internet of Things (IoT) applications that require more intense data storage and processing. However, cloud-based IoT systems are typically located far from end-users and face several issues, including high cloud server load, slow response times, and a lack of global mobility. Some of these flaws can be addressed with edge computing. In addition, node selection helps avoid common difficulties related to IoT, including network lifespan, allocation of resources, and trust in the acquired data by selecting the correct nodes at a suitable period. On the other hand, the IoT's interconnection of edge and blockchain technologies gives a fresh perspective on access control framework design. This article provides a novel node selection approach for blockchain-enabled edge IoT that provides a quick and dependable node selection. Moreover, fuzzy logic to approximation logic was used to manage numerical and linguistic data simultaneously. In addition, the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS), a powerful tool for examining Multi-Criteria Decision-Making (MCDM) problems, is used. The suggested fuzzy-based technique employs three input criteria to select the correct IoT node for a given mission in IoT-edge situations. The outcomes of the experiments indicate that the proposed framework enhances the parameters under consideration.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】blockchain; security; IoT; fuzzy method; node selection; MCDM

【发表时间】2022

【收录时间】2022-09-26

【文献类型】 理论模型

【DOI】 10.3390/app12178906

【Author】 Khan, Asad Ullah Javaid, Nadeem Khan, Muhammad Asghar Ullah, Insaf

【Source】CLUSTER COMPUTING-THE JOURNAL OF NETWORKS SOFTWARE TOOLS AND APPLICATIONS

【影响因子】2.303

【主题类别】

区块链技术-协同技术-物联网

【Abstract】A blockchain based scheme is proposed in the underlying work for performing registration, mutual authentication, data sharing and nonrepudiation in internet of wireless sensor things. The nodes are divided into three types in the proposed scheme: sensor nodes, cluster heads and coordinators. Moreover, a consortium blockchain, deployed on the coordinators, is employed for storing the legitimate nodes' identities. Furthermore, coordinators also help in the execution of smart contracts, which facilitate the sensor nodes in authentication, data sharing and nonrepudiation processes. Additionally, for storing the nodes' ambient data, artificial intelligence based interplanetary file system (IPFS) is used. Furthermore, to increase the transaction throughput and efficiency of the network, a stellar consensus protocol is used. From the simulation results, the transaction latency of the proposed model is approximately 81.82% lower than the proof of work based model. Moreover, the gas consumption of data request and provisioning is 0.10 US Dollars.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】Mutual authentication; Consortium blockchain; Data sharing; Data nonrepudiation; Artificial intelligence; Interplanetary file system; Internet of wireless sensor things

【发表时间】

【收录时间】2022-09-26

【文献类型】 理论模型

【DOI】 10.1007/s10586-022-03722-z

【Author】 Liu, Pan Cui, Xiaoyan Li, Ye

【Source】SCIENCE AND PUBLIC POLICY

【影响因子】2.087

【主题类别】

区块链应用-实体经济-供应链

【Abstract】To stimulate the development and application of blockchain technology, Chinese government put forward subsidy strategy. To explore the subsidy policies under the new background, we chose a fresh supply chain with one producer, one blockchain-based traceability service provider, and one retailer as the research object, and government subsidy strategies were divided into a fixed strategy and a varying strategy. Afterward, considering the trust level of blockchain-based traceability information and consumers' preference to the blockchain-based traceability information, we revised the demand function, and three subsidy models were proposed and analyzed. Findings: (1) the varying subsidy will help the retailer, the producer, and the traceability service provider set lower prices. (2) Meanwhile, the varying subsidies offered to the blockchain-based traceability service provider and the producer will help the whole supply chain members obtain more revenues.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】subsidy policies; blockchain; traceability service; fresh supply chain

【发表时间】

【收录时间】2022-09-26

【文献类型】 实证数据

【DOI】 10.1093/scipol/scac044

【Author】 Vignesh, Ramamoorthi Prasad, Kulasekaran Mohana

【Source】CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE

【影响因子】1.831

【主题类别】

区块链应用-实体经济-企业管理

【Abstract】In the proposed approach, the blockchain based employee performance assessment system is introduced to enhance the security and privacy of employee data. The proposed three phases are used to enhance the security mechanism in the employee performance assessment system: authentication, encryption, and data retrieval phase. The authentication process is performed in the first phase by utilizing Lamport Merkle digital signature (LMDS) algorithm. The LMDS algorithm generates and verifies a digital ID for each employee. In the next phase blockchain based encryption is carried on employee data using the new light weight cryptography algorithm (NLCA), which uses a 16 bytes (128 bit) block cipher and needs 16 bytes (128-bit) key to encrypt the data. At last, the data retrieval phase allows users to access the data through the secret key. Proposing a modified Diffie-Hellman (ReDH) algorithm to exchange the secret key to ensure security. The proposed approach is implemented in the Python platform, and the performance of the proposed approach is compared with existing methods in terms of encryption time, throughput, decryption time, storage efficiency, and search time. Using a blockchain-based employee performance assessment system enhances system trust level, transparency, accountability, and security efficiency.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】authentication phase; blockchain; data retrieval phase; digital ID; employee performance assessment system; encryption phase

【发表时间】

【收录时间】2022-09-26

【文献类型】 理论模型

【DOI】 10.1002/cpe.7318

【Author】 Qu, Jia

【Source】MEDICINE

【影响因子】1.817

【主题类别】

区块链应用-实体经济-医疗领域

【Abstract】Background: A blockchain-based Electronic Health Record(EHR) data-sharing scheme was proposed to solve the problems of data sharing difficulties and privacy disclosure. Methods: This paper designs a blockchain-based electronic health record model based on the characteristics of blockchain antitampering, decentralization, and distributed storage. Utilize blockchain network and distributed database to store encryption-related access control policies to prevent EHR data from being tampered with and leaked. Data security sharing protocol combines Distributed Key Generation (DKG) and reencryption. Results: The protocol used the Delegated Proof of Stake(DPOS) algorithm to select the proxy node, which reencrypted the EHR to share data between a pair of users. Simulation experiments and comparative analysis showed that DPOS efficiency was higher than Proof of Work (POW) and slightly lower than the Practical Byzantine Fault Tolerance(PBFT). Conclusions: The scheme proposed in this paper is more decentralized and less computationally intensive.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】Blockchain; Data sharing; Distributed key generation; DPOS; Electronic medical records; PBFT; POW

【发表时间】2022

【收录时间】2022-09-26

【文献类型】 理论模型

【DOI】 10.1097/MD.0000000000030507

【Author】 Ren, Rui Althof, Michael Haerdle, Wolfgang Karl

【Source】SINGAPORE ECONOMIC REVIEW

【影响因子】1.736

【主题类别】

区块链治理-市场治理-数字货币

【Abstract】Cryptocurrencies have emerged as a new asset class. In order to provide a thorough understanding of this new asset class, we study the dependencies in tail risk events within cryptocurrencies, and provide a hedging alternative in this paper. First, we adopt the Financial Risk Meter approach for cryptocurrencies, which is able to identify individual risk characteristics and indicate systemic risk in a network topology. Next, we detect the interdependencies across digital coins and study the spillover effects. Finally, we construct tail event sensitive portfolios and test the performance versus traditional approaches from January 2019 to May 2022.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】Cryptocurrencies; network dynamics; portfolio optimization; quantile regression; systemic risk; financial risk meter

【发表时间】

【收录时间】2022-09-26

【文献类型】 实证数据

【DOI】 10.1142/S0217590822480010

【Author】 Thanh-Tuan Chu Thi Thu Tra Pham

【Source】REGIONAL SCIENCE POLICY AND PRACTICE

【影响因子】0.000

【主题类别】

区块链应用-实体经济-供应链

【Abstract】The agri-food supply chain has been a popular research topic in recent years. The combination of a demand for products of high quality and safety standards and the increasing number of stakeholders in supply chain networks has required the agri-food business to transform from vertically integrated to vertically operated supply chain networks. Nevertheless, this traditional agri-food supply chain form has exposure to some drawbacks. Meanwhile, blockchain technology as a disruptive technology today has the potential to provide value-added contributions towards multiple-disciplinary applications. Blockchain technology gains success and proves its functionality in improving the current supply chain by ensuring traceability, transparency and efficiency across the network from farmer to consumer. Therefore, the purpose of this paper is to review the existing literature on vertical coordination in the supply chain and its mechanism and to develop a framework that explores how blockchain technology can address the challenges in coordination mechanisms. Furthermore, taking the current Vietnamese vertical coordination cashew supply chain as a case study, this research is based on the proposed framework to suggest a solution combining blockchain and other relative technologies for the Vietnamese cashew business. This paper will close a research gap, as the blockchain-based supply chain for Vietnam cashew nuts has potential benefits for each supply chain actor in terms of effectiveness in operations, costs and time-saving, and human resources.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】Blockchain technology; supply chain management; vertical coordination; Vietnam cashew nuts

【发表时间】

【收录时间】2022-09-26

【文献类型】 理论模型

【DOI】 10.1111/rsp3.12576