【Author】 Zhao, Leilei Xue, Yixun Sun, Hongbin Du, Yuan Chang, Xinyue Su, Jia Li, Zening

【Source】APPLIED ENERGY

【影响因子】11.446

【主题类别】

区块链应用-实体经济-能源领域

【Abstract】Combined heat and power dispatch (CHPD) has attracted wide attention recently, which exploits the potential flexibility in the district heating system (DHS) and provides an economic-effective solution for better wind accommodation. However, DHS operators bear extra operation cost in CHPD, which is proved theoretically in this paper, so that they have insufficient incentive to coordinate with electrical power system. To cope with this issue, a cost allocation strategy based on the Aumann-Shapley value method is proposed, which can rationally allocate the benefit among multiple agents. And a new solution scheme with the Gauss-Legendre quadrature formula is developed to enhance computation efficiency. Also, considering the potential malicious behavior of dishonest agents in the process of allocation, the blockchain framework with Proof of Solution consensus mechanism is introduced to ensure mutual trust among multiple agents. Numerical simulations based on different cases demonstrate the effectiveness of the proposed method of benefit allocation among multiple agents. In addition, the validity of the proposed blockchain framework in preventing malicious behavior when CHPD is verified.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】Combined power and heat dispatch; Benefit allocation; Cooperative game; Shapley value; Aumann-Shapley value; Blockchain

【发表时间】2023

【收录时间】2023-07-16

【文献类型】 理论模型

【DOI】 10.1016/j.apenergy.2023.121279

【Author】 van Wassenaer, Lan Verdouw, Cor Kassahun, Ayalew van Hilten, Mireille van der Meij, Koos Tekinerdogan, Bedir

【Source】JOURNAL OF CLEANER PRODUCTION

【影响因子】11.072

【主题类别】

区块链应用-实体经济-农牧领域

【Abstract】This paper presents a conceptual framework that reflects the current state of thinking on tokenizing circularity in agri-food systems. The framework is built upon classifications of tokens and the key principles of circular economy and shows how tokenization can support circularity in agri-food systems through the flows of infor-mation and flows of value. Based on an integrative review of literature on tokenization, blockchain and the circular economy and multiple case studies in the agri-food domain, we show the relevance of tokenization to the circular economy in three ways: 1) enhancing traceability of physical and digital objects in supply chains; 2) improving transparency and credibility of circularity claims; 3) facilitating collaborative business ecosystems with incentives for more circular production and distribution. Based on the framework, we derive important research questions for future research agenda on tokenizing circularity in agri-food systems.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】Tokenization; Blockchain; Circularity; Agri-food systems

【发表时间】2023

【收录时间】2023-07-16

【文献类型】 理论模型

【DOI】 10.1016/j.jclepro.2023.137527

【Author】 Xing, Rui Su, Zhou Luan, Tom. H. Li, Ruidong

【Source】IEEE NETWORK

【影响因子】10.294

【主题类别】

--

【Abstract】A cyber-physical social system (CPSS), which integrates the social world with the cyber world and physical world, plays a crucial role in a more intelligent and efficient network. Recent advances in blockchain have significant impacts on securing the transactions in CPSS. Nevertheless, the deployment of blockchain faces fundamental engineering challenges. Specifically, in remote or disaster areas, users of CPSS typically cannot effectively connect to the blockchain system in real time due to the deficiency of Internet connection. In busy urban areas, however, users are reluctant to frequently connect to the blockchain system due to the costly communication connection. Thus, the offline blockchain system, which enables direct secured offline transaction channels among users in CPSS and efficiently synchronizes batch transactions to the global blockchain system, is a promising solution to address these problems. This article presents a novel CPSS architecture that can realize secure transactions for users participating in offline blockchain transactions by making use of an AI-based algorithm. We first introduce three typical offline blockchain transaction environments in CPSS, followed by analysis of the security issues of the proposed architecture. In addition, we present the hashed time locked contract (HTLC) established for the CPSS users participating in an offline blockchain transaction. To detect potential malicious attackers in offline transactions, we introduce an LSTM-based recurrent neural network (RNN) model to detect the malicious transaction witness. Numerical results are presented to validate the effectiveness of this model.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】Blockchains; Artificial intelligence; Security; Social networking (online); Computer architecture; Synchronization; Mobile handsets

【发表时间】2022

【收录时间】2023-07-16

【文献类型】

【DOI】 10.1109/MNET.111.2100700

【Author】 Taskou, Shiva Kazemi Rasti, Mehdi Nardelli, Pedro H. J.

【Source】IEEE NETWORK

【影响因子】10.294

【主题类别】

区块链技术-协同技术-5G

【Abstract】Many of the key enabling technologies of the fifth-generation (5G), such as network slicing, spectrum sharing, and federated learning, rely on a centralized authority. This may lead to pitfalls in terms of security or single point of failure. Distributed ledger technology, specifically blockchain, is currently employed by different applications related to the Internet of Things (IoT) and 5G to address the drawbacks of centralized systems. For this reason, mobile blockchain networks (MBNs) have recently attracted a great deal of attention. To add a transaction to the blockchain in MBNs, mobile or IoT users must perform various tasks like encryption, decryption, and mining. These tasks require energy and processing power, which impose limitations on mobile and IoT users' performance because they are usually battery powered and have a low processing power. One possible solution is to perform the tasks virtually on commodity servers provided by mobile edge computing (MEC) or cloud computing. To do so, all tasks needed to add a transaction to the blockchain can be treated as virtual blockchain functions that can be executed on commodity servers. We introduce a blockchain virtualization framework called blockchain function virtualization (BFV), through which all blockchain functions can be performed virtually by MEC or cloud computing. Furthermore, we describe applications of the BFV framework and resource allocation challenges brought by the BFV framework in mobile networks. In addition, to illustrate the advantages of BFV, we define an optimization problem to simultaneously minimize the energy consumption cost and maximize miners' rewards. Finally, simulation results show the performance of the proposed framework in terms of total energy consumption, transaction confirmation rate, and miners' average profit.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】Blockchains; Internet of Things; Broadcasting; 5G mobile communication; Servers; Task analysis; Computational modeling

【发表时间】2022

【收录时间】2023-07-16

【文献类型】 实验仿真

【DOI】 10.1109/MNET.009.2100473

【Author】 Nguyen, Dinh C. Nguyen, Van-Dinh Ding, Ming Chatzinotas, Symeon Pathirana, Pubudu N. Seneviratne, Aruna Dobre, Octavia Zomaya, Albert Y.

【Source】IEEE NETWORK

【影响因子】10.294

【主题类别】

区块链技术-协同技术-边缘计算

【Abstract】The convergence of mobile edge computing (MEC) and blockchain is transforming the current computing services in wireless Internet-of-Things (IoT) networks, enabling task offloading with security enhancement based on blockchain mining. Yet the existing approaches for these enabling technologies are isolated, providing only tailored solutions for specific services and scenarios. To fill this gap, we propose a novel cooperative task offloading and blockchain mining (TOBM) scheme for a blockchain-based MEC system, where each edge device not only handles computation tasks but also conducts block mining for improving system utility. To address the latency issues caused by the blockchain operation in MEC, we develop a new Proof-of-Reputation consensus mechanism based on a lightweight block verification strategy. To accommodate the highly dynamic environment and high-dimensional system state space, we apply a novel distributed deep reinforcement learning-based approach by using a multi-agent deep deterministic policy gradient algorithm. Experimental results demonstrate the superior performance of the proposed TOBM scheme in terms of enhanced system reward, improved offloading utility with lower blockchain mining latency, and better system utility, compared to the existing cooperative and non-cooperative schemes. The article concludes with key technical challenges and possible directions for future blockchain-based MEC research.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】Task analysis; Blockchains; Data mining; Servers; Quality of experience; Optimization; Resource management

【发表时间】2022

【收录时间】2023-07-16

【文献类型】 实验仿真

【DOI】 10.1109/MNET.002.2100188

【Author】 Li, Meng Yu, F. Richard Si, Pengbo Zhang, Yanhua Qian, Yi

【Source】IEEE NETWORK

【影响因子】10.294

【主题类别】

区块链技术-协同技术-6G

【Abstract】Artificial intelligence (AI)-enabled Internet of Things (IoT) has attracted great interests. The accuracy of data training model in AI is vital for further development of IoT. In addition, with the increasing number of intelligent IoT devices, the amounts of data available for transmission, learning and training can lead to serious communication burdens and data reliability issues. In order to address these issues, we study novel network architectures in future 6G networks to support the intelligent IoT. Moreover, inspired by the collective learning of humans, we introduce and adopt a novel method named as collective reinforcement learning (CRL) in the intelligent IoT to realize the sharing of learning and training results. To ensure security and privacy, as well as improve computing efficiency, blockchain, mobile edge computing (MEC) and cloud computing are applied to protect data security and enrich computing resources. On this basis, we formulate an optimization problem in the intelligent IoT based on the proposed framework to optimize transmission latency and energy consumption. Simulation results demonstrate that the system performance has improved significantly. At last, some research challenges and open issues are pointed out to the intelligent IoT in future networks.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】Internet of Things; 6G mobile communication; Training; Artificial intelligence; Cloud computing; Optimization; Blockchains

【发表时间】2022

【收录时间】2023-07-16

【文献类型】 实验仿真

【DOI】 10.1109/MNET.105.2100516

【Author】 He, Chao Tan, Chunqiao Ip, W. H. Wu, C. H.

【Source】TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW

【影响因子】10.047

【主题类别】

--

【Abstract】The intrinsic value of brand names has led to the widespread presence of counterfeits in multiindustries. Although government enforcement plays a role in combating counterfeits, it is difficult to fundamentally curb counterfeiting. This paper examines how the brand-name firm adopts the blockchain-technology-supported (BTS) platform in dealing with counterfeits under government enforcement. We consider a market with a manufacturer (i.e., a brand-name firm) and a counterfeiter. First, we develop a signaling game model to analyze the negative impact of deceptive sales. The results show that, under weak government enforcement and a high rampancy level of counterfeits, deceptive sales will decrease the expected demand for authentic products, the manufacturer's expected profit, the expected consumer surplus, and the expected social welfare. Although government enforcement forces the counterfeiter to implement non-deceptive sales, it will decrease the expected consumer surplus under symmetric quality information. Then, we develop a Stackelberg game model to analyze the manufacturer's adoption strategy for the BTS platform. We find that weaker government enforcement will incentivize the manufacturer to adopt the BTS platform. However, the manufacturer does not always adopt the BTS platform even if the counterfeiter implements deceptive sales. Finally, we analyze the effect of adopting the BTS platform under government enforcement. We reveal that the role of the BTS platform in improving consumer rights is stronger than that in combating counterfeits, and the effect of adopting the BTS platform will strengthen as government enforcement weakens.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】Counterfeits; Government enforcement; Blockchain-technology-supported platform; Signaling game; Deceptive sales

【发表时间】2023

【收录时间】2023-07-16

【文献类型】

【DOI】 10.1016/j.tre.2023.103155

【Author】 Jiang, Bingcheng He, Qian Liu, Peng Maharjan, Sabita Zhang, Yan

【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-车辆领域

【Abstract】The dramatically growing trend of vehicles equipped with driving camera recorders has allowed realizing real-time crowdsourced video sharing in vehicular edge computing (VEC). Such cameras can assist in monitoring objects directly in front of and behind the vehicles, enabling them to provide important visual information through real-time video streaming in case of possible accidents. Exploiting the on-board units (OBUs) for VEC can allow drivers and passengers to share and access on-road video surveillance services. However, data security and privacy concerns of video generators (owners) are two key challenges that can severely limit video sharing in a VEC environment. In this article, we propose a blockchain empowered publish/subscribe (P/S) scheme to enable one-to-many secure video sharing in the VEC scenario. Then, we design an attribute-based encryption algorithm with static and dynamic attributes (ABE-SD) to achieve fine-grained access control in a mobile environment. Finally, We utilize permissioned blockchain and smart contracts to record access policy and publish and subscribe events, thus resulting in user self-certification and event traceability. The numerical results indicate that our proposed scheme ABE-SD outperforms traditional centralized CP-ABE methods in terms of encryption and decryption performance. The simulation experiments demonstrated that the proposed video-sharing scheme is secure and efficient.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】Streaming media; Blockchains; Access control; Encryption; Real-time systems; Accidents; Vehicle dynamics; Video service; publish/subscribe; attribute-based encryption; blockchain

【发表时间】2023

【收录时间】2023-07-16

【文献类型】 实验仿真

【DOI】 10.1109/TITS.2023.3269058

【Author】 Vieira, Emanuel Almeida, Joao Ferreira, Joaquim Bartolomeu, Paulo C.

【Source】VEHICULAR COMMUNICATIONS

【影响因子】8.373

【主题类别】

--

【Abstract】Cooperative, Connected and Automated Mobility (CCAM) applications, enabled by vehicular communica-tions and vehicle automation technologies, are set to increase traffic safety and efficiency. An important feature of CCAM is the potential to decide and coordinate maneuvers among automated vehicles in a more efficient and secure manner, when compared to human drivers. However, maneuver decision and coordination is a rather complex topic due to the multitude of possible maneuvers and the occasional cooperation failures, as caused by issues derived from the use of wireless communications in the vehicular ecosystem, like packet loss or even misbehaving entities. This work focuses on the latter problem by introducing a secure communication design for the decision of general cooperative maneuvers and the distributed storage of related data for accountability purposes using mechanisms based on distributed ledger technologies, while meeting user and data privacy requirements. We present the VERCO (VERifiable COoperation), a scalable geographical-based multi-layered blockchain architecture able to support the high volume of shared vehicular data in order to enhance the security and accountability of cooperative maneuvers, as well as potentially being able to support other vehicular services. To support this architecture, we also provide a performant communication protocol for the decision and negotiation of cooperative maneuvers, based on a new message: the Verifiable Cooperation Message (VCM). The architecture and communication protocol are analyzed and tested employing hardware-in-the-loop (HiL) simulations using two ETSI ITS standard compliant on-board units (OBUs) while deciding maneuvers in a lane-merging scenario. To test the scalability of the architecture a roadside unit (RSU) is put under different stress loads using a variable number of simulated vehicles in the same lane-merging scenario. Experimental results show the feasibility of the communication protocol, with an average delay of 34.68 ms, and the lightweightness of the proposed architecture, with an average overhead of only 2.62 ms for two vehicles and less than 6 ms for dozens of vehicles.& COPY; 2023 The Author(s). Published by Elsevier Inc. This is an open access article under the CC BY license (http://creativecommons .org /licenses /by /4 .0/).

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】Vehicular communications; Cooperative maneuvers; Consensus; Blockchain; Distributed ledger; Data security

【发表时间】2023

【收录时间】2023-07-16

【文献类型】

【DOI】 10.1016/j.vehcom.2023.100614

【Author】 Lu, Chun-Yi Jiunn-Yin Wu, Hsin-Te

【Source】JOURNAL OF ORGANIZATIONAL AND END USER COMPUTING

【影响因子】7.400

【主题类别】

--

【Abstract】This study proposes using dendrogram clustering as the basis to construct a federated learning system for A.I. model parameter updating. The authors adopted a private blockchain to accelerate downloads of the latest parameters corresponding to the computation results of an A.I. model. This study reduced the computational complexity of the backend server with the A.I. model to elevate backend server performance. Furthermore, the authors propose a hash function to determine whether the machines added new training data. The experimental results revealed that the proposed method could reduce the computational complexity of federated learning and that private blockchains can be applied to ensure parameter confidentiality and completeness. In summary, this research uses software computing methods to save machine learning data transmission, reduce network load, and provide privacy protection for parameter data without updating existing production equipment so that small-cost enterprises can import Industry 4.0.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】Artificial Intelligence; Blockchain; Clustering; Federated Learning; Industry 4.0; Machine Learning; Network Security; Smart Factory

【发表时间】2022

【收录时间】2023-07-16

【文献类型】

【DOI】 10.4018/JOEUC.313194

【Author】 Corradini, Flavio Marcelletti, Alessandro Morichetta, Andrea Polini, Andrea Re, Barbara Tiezzi, Francesco

【Source】FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE

【影响因子】7.307

【主题类别】

--

【Abstract】In modern business scenarios, more and more organisations have to deal with the critical requirements of trustworthiness and flexibility, when collaborating in multi-party business processes. This calls for new kinds of systems able to manage collaborative processes in untrusted and dynamic environments. Concerning the collaborative perspective, the Business Process Management discipline has provided effective and standardised solutions for a long time, now. Regarding the trustworthiness perspective, blockchain is advocated as one of the most prominent technologies to guarantee trust in a multi-party setting. However, while the immutability of blockchain provides transparent and secure proof of past business interactions, it hinders the flexibility of the business process execution, as the business logic regulating the process execution is immutably stored in the blockchain. On the other hand, flexibility is a property that is becoming crucial in such a setting due to the high dynamism of the business scenarios. In fact, it permits to modify a process at run-time to deal with internal or external changes. In this paper, we face this issue by proposing an architecture for the flexible blockchain-based execution of multi-party business processes. In our approach, business processes are modelled by BPMN choreography diagrams translated into code, whose execution state is then stored in the blockchain. Flexibility is achieved by decoupling the business process's logic from its execution state, thus allowing run-time changes to the process execution without losing the fundamental properties of trust provided by the blockchain. To show the effectiveness of our approach, we provide a prototypical implementation, called FlexChain, and we use it on a case study from the healthcare application domain. The results obtained by the analysis of cost for the reported case study show the feasibility of the approach. In particular, major costs to sustain relate to one-time operations, such as the deployment and the run-time update of the model, while the most frequent actions are quite efficient.& COPY; 2023 Elsevier B.V. All rights reserved.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】Multi-party business process; BPMN; Blockchain; Smart contracts; Flexibility; Drools

【发表时间】2023

【收录时间】2023-07-16

【文献类型】

【DOI】 10.1016/j.future.2023.05.006

【Author】 Tang, Fei Ling, Guowei Cai, Chaochao Shan, Jinyong Liu, Xuanqi Tang, Peng Qiu, Weidong

【Source】IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY CCF-A

【影响因子】7.231

【主题类别】

--

【Abstract】Additively Homomorphic Encryption (AHE) has been widely used in various applications, such as federated learning, blockchain, and online auctions. Elliptic Curve (EC) based AHE has the advantages of efficient encryption, homomorphic addition, scalar multiplication algorithms, and short ciphertext length. However, EC-based AHE schemes require solving a small exponential Elliptic Curve Discrete Logarithm Problem (ECDLP) when running the decryption algorithm, i.e., recovering the plaintext m ? {0, 1}(l) from m * G. Therefore, the decryption of EC-based AHE schemes is inefficient when the plaintext length l > 32. This leads to people being more inclined to use RSA-based AHE schemes rather than EC-based ones. This paper proposes an efficient algorithm called FastECDLP for solving the small exponential ECDLP at 128-bit security level. We perform a series of deep optimizations from two points: computation and memory overhead. These optimizations ensure efficient decryption when the plaintext length l is as long as possible in practice. Moreover, we also provide a concrete implementation and apply FastECDLP to some specific applications. Experimental results show that FastECDLP is far faster than the previous works. For example, the decryption can be done in 0.35 ms with a single thread when l = 40, which is about 30 times faster than that of Paillier. Furthermore, we experiment with l from 27 to 54, and the existing works generally only consider l = 32. The decryption only requires 1 second with 16 threads when l = 54. In the practical applications, we can speed up model training of existing vertical federated learning frameworks by 4 to 14 times. At the same time, the decryption efficiency is accelerated by about 140 times in a blockchain financial system (ESORICS 2021) with the same memory overhead.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】Security; Homomorphic encryption; Optimization; Blockchains; Memory management; Federated learning; Runtime; ECDLP; additively homomorphic encryption; fast decryption; BSGS; cuckoo hashing

【发表时间】2023

【收录时间】2023-07-16

【文献类型】

【DOI】 10.1109/TIFS.2023.3283910

【Author】 Jiang, Yiming Zhang, Jiangfan

【Source】IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY CCF-A

【影响因子】7.231

【主题类别】

区块链技术-协同技术-物联网

【Abstract】Distributed detection over a blockchain-aided Internet of Things (BIoT) network in the presence of attacks is considered, where the integrated blockchain is employed to secure data exchanges over the BIoT as well as data storage at the agents of the BIoT. We consider a general adversary model where attackers jointly exploit the vulnerability of IoT devices and that of the blockchain employed in the BIoT. The optimal attacking strategy which minimizes the Kullback-Leibler divergence is pursued. It can be shown that this optimization problem is nonconvex, and hence it is generally intractable to find the globally optimal solution to such a problem. To overcome this issue, we first propose a relaxation method that can convert the original nonconvex optimization problem into a convex optimization problem, and then the analytic expression for the optimal solution to the relaxed convex optimization problem is derived. The optimal value of the relaxed convex optimization problem provides a detection performance guarantee for the BIoT in the presence of attacks. In addition, we develop a coordinate descent algorithm which is based on a capped water-filling method to solve the relaxed convex optimization problem, and moreover, we show that the convergence of the proposed coordinate descent algorithm can be guaranteed.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】Blockchains; Internet of Things; Biological system modeling; Task analysis; Convex functions; Cloud computing; Performance evaluation; Blockchain; double-spending attack; distributed detection; Kullback-Leibler divergence; capped water-filling

【发表时间】2023

【收录时间】2023-07-16

【文献类型】 实验仿真

【DOI】 10.1109/TIFS.2023.3279984

【Author】 Cheng, Ruifen

【Source】ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH

【影响因子】5.190

【主题类别】

区块链应用-实体经济-旅游领域

【Abstract】The research aims to investigate the potential of blockchain technology to address the challenges facing traditional tourism businesses in the hospitality industry. By assessing and validating tourism business models, the research explores how blockchain can enhance transparency, efficiency, and cost reduction. This research utilizes the ARDL technique to examine the role of blockchain in the tourism in reducing environmental deterioration in China for the period of 2010-2020. The empirical analysis was used in this study. The study presents findings that support the effectiveness of blockchain in validating tourism business models. The authors conclude by discussing the implications of their research for the hospitality industry and suggest future research directions.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】Tourism; Blockchain; Environmental quality; China; Innovation

【发表时间】2023

【收录时间】2023-07-16

【文献类型】 实证数据

【DOI】 10.1007/s11356-023-26832-6

【Author】 Coelho, Kristtopher K. Nogueira, Michele Vieira, Alex B. Silva, Edelberto F. Nacif, Jose Augusto M.

【Source】COMPUTER COMMUNICATIONS CCF-C

【影响因子】5.047

【主题类别】

区块链技术-协同技术-联邦学习

【Abstract】Technological advances in smart devices and applications targeting the Internet of Healthcare Things provide a perfect environment for using Machine Learning-based techniques. However, traditional ML solutions operate on centralized data collection and processing. Federated Learning (FL) is a promising solution to train ML models on multiple decentralized devices without effectively sharing private data. Therefore, FL offers a secure architecture to handle highly sensitive data in the IoHT context. This survey comprehensively reviews emerging data security and privacy applications for FL in IoHT networks. First, we present a background overview of the basic concepts of FL applied in IoHT. In particular, we rigorously investigate and evaluate the main solutions to IoHT data security and privacy issues. In addition, we categorize the most relevant publications related to IoHT data security, whether due to advances in the architecture of FL or data protection. Next, we list several IoHT network datasets for model training. Finally, we highlight the essential lessons from this review, highlighting current challenges and possible directions for future research in data security and privacy in IoHT networks using FL.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】Federated learning; Security; Privacy; Healthcare; IoHT; Machine learning; Blockchain; Datasets

【发表时间】2023

【收录时间】2023-07-16

【文献类型】 综述

【DOI】 10.1016/j.comcom.2023.05.012

【Author】 Ren, Yongjun Liu, Xinyu Sharma, Pradip Kumar Alfarraj, Osama Tolba, Amr Wang, Shenqing Wang, Jin

【Source】SCIENTIFIC REPORTS

【影响因子】4.996

【主题类别】

区块链技术-协同技术-物联网

【Abstract】With the rapid development of Industry 4.0, the data security of Industrial Internet of Things in the Industry 4.0 environment has received widespread attention. Blockchain has the characteristics of decentralization and tamper-proof. Therefore, it has a natural advantage in solving the data security problem of Industrial Internet of Things. However, current blockchain technologies face challenges in providing consistency, scalability and data security at the same time in Industrial Internet of Things. To address the scalability problem and data security problem of Industrial Internet of Things, this paper constructs a highly scalable data storage mechanism for Industrial Internet of Things based on coded sharding blockchain. The mechanism uses coded sharding technology for data processing to improve the fault tolerance and storage load of the blockchain to solve the scalability problem. Then a cryptographic accumulator-based data storage scheme is designed which connects the cryptographic accumulator with the sharding nodes to save storage overhead and solve the security problem of data storage and verification. Finally, the scheme is proved to be security and the performance of the scheme is evaluated.

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】2023-07-16

【文献类型】 实验仿真

【DOI】 10.1038/s41598-023-29917-x

【Author】 Far, Saeed Banaeian Asaar, Maryam Rajabzadeh Haghbin, Afrooz

【Source】JOURNAL OF INFORMATION SECURITY AND APPLICATIONS

【影响因子】4.960

【主题类别】

--

【Abstract】Data integrity is a property that cloud service providers (CSPs) have focused on. The data integrity checking is assigned to third-party auditors (TPAs) to avoid invalid data storage in CSPs. Nevertheless, this type of mechanism is vulnerable to many threats, including insider/outsider adversaries. Moreover, several threats still exist with its presence, such as deleting, changing, or destroying the recorded data. The study presents a blockchain-based distributed auditing (BB-DA) protocol for auditing confidential/untraceable transactions in a distributed manner. The BB-DA protocol provides message/transaction confidentiality, user privacy, and security against privileged insider adversaries, who want to create disorder in the auditing process by refusing to sign/audit, and those who aim to do so in the BB-DA protocol will fail even if they cooperate. To provide message confidentiality and security against malicious insiders, the ElGamal cryptosystem is used in the BB -DA protocol, and to avoid destroying the submitted data (transactions) by CSPs, the blockchain is used as a distributed and immutable database in the BB-DA protocol. The Zerocoin is applied in the BB-DA protocol for providing user untraceability and anonymity. The security analysis of the BB-DA protocol proves that the offered protocol is secure against the key-only, known message, and chosen message attacks. Additionally, the analysis indicates that it provides security against malicious insiders who want to learn any knowledge about corresponded transactions or break users' anonymity. The paper's comparison and evaluation show that the BB-DA offers more features and is more efficient than other auditing protocols.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】Blockchain; Confidential transaction; Distributed auditing; Threshold signature; User untraceability

【发表时间】2023

【收录时间】2023-07-16

【文献类型】

【DOI】 10.1016/j.jisa.2023.103429

【Author】 Zheng, Changjuan Huang, Xu Xu, Ying

【Source】SUSTAINABILITY

【影响因子】3.889

【主题类别】

区块链应用-实体经济-企业管理

【Abstract】The use of blockchain technology can ensure that data remains untampered with once it is on the chain. However, it doesn't guarantee the authenticity of data before it enters the chain. In this study, we developed a three-party dynamic evolutionary game model involving core enterprises, small and medium-sized enterprises (SMEs), and financial institutions. Our findings indicate that a blockchain supply chain (BSC) generates more economic benefits than a traditional supply chain (TSC). We then built a dynamic evolutionary game model between core enterprises and SMEs, which revealed that SMEs are influenced by core enterprises and tend to adopt the action strategies of the latter. Additionally, we developed a dynamic evolutionary game model between core enterprises and financial institutions and compared the reward and punishment mechanisms with the synergy payoff mechanism. In the reward and punishment mechanisms, the game is a zero-sum game, where one party's gains come at the expense of the other party. This mechanism has certain limitations and must meet specific conditions to improve the willingness of enterprises to share data. On the other hand, the synergy payoff mechanism enhances the authenticity of shared data by increasing the payoff for participants. When core enterprises play games with SMEs, the probability of core enterprises uploading real data and the distribution ratio of synergy payoff show an inverted U-shape. Similarly, core enterprises and financial institutions have comparable results in allocating synergy payoff. To leverage the synergy payoff mechanism, the distribution proportion of players participating in the synergy payoff should be considered fair. Finally, we validated our findings by simulating the models. If we can use blockchain technology to enhance the mutual trust between enterprises and banks, both banks and enterprises can achieve sustainable development.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】blockchain; data sharing; dynamic evolutionary game

【发表时间】2023

【收录时间】2023-07-16

【文献类型】 实证数据

【DOI】 10.3390/su15129439

【Author】 Yue, Cong Zhang, Meihui Zhu, Changhao Chen, Gang Loghin, Dumitrel Ooi, Beng Chin

【Source】PROCEEDINGS OF THE VLDB ENDOWMENT

【影响因子】3.557

【主题类别】

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【Abstract】Database systems are paying more attention to data security in recent years. Immutable systems such as blockchains, verifiable databases, and ledger databases are equipped with various verifiability mechanisms to protect data. Such systems often adopt different threat models, and techniques, therefore, have different performance implications compared to traditional database systems. So far, there is no uniform benchmarking tool for evaluating the performance of these systems, especially at the level of verification functions. In this paper, we first survey the design space of the verifiability-enabled database systems along five dimensions: threat model, authenticated data structure (ADS), query processing, verification, and auditing. Based on this survey, we design and implement VeriBench, a benchmark framework for verifiability-enabled database systems. VeriBench enables a fair comparison of systems designed with different underlying technologies that share the client-side verification scheme, and focuses on design space exploration to provide a deeper understanding of different system design choices. VeriBench incorporates micro- and macro-benchmarks to provide a comprehensive evaluation. Further, VeriBench is designed to enable easy extension for benchmarking new systems and workloads. We run VeriBench to conduct a comprehensive analysis of state-of-the-art systems comprising blockchains, ledger databases, and log transparency technologies. The results expose the weaknesses and strengths of each underlying design choice, and the insights should serve as guidance for future development.

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】2023-07-16

【文献类型】

【DOI】 10.14778/3598581.3598588

【Author】 Son, Seunghwan Kwon, Deokkyu Lee, Sangwoo Jeon, Yongsung Das, Ashok Kumar Park, Youngho

【Source】IEEE ACCESS

【影响因子】3.476

【主题类别】

区块链应用-实体经济-无人机

【Abstract】Unmanned-aerial-vehicle (UAV)-enabled intelligent transportation system (ITS) is an advanced technology that can provide various services including autonomous driving, real-time creation of high-definition maps, and car sharing. In particular, a UAV-enabled ITS can be realized through the combination of traditional vehicular ad hoc networks (VANETs) and UAVs that can act as flying roadside units (RSUs) at the outskirts and monitor road conditions from predefined locations to spot car accidents and any law violations. Notably, to realize these services, real-time communication between UAVs and RSUs must be guaranteed. However, UAVs have limited computing powers, and if extensive computation is required during communication, the provision of real-time ITS services may be hindered. Furthermore, UAVs and RSUs communicate via public channels that are prone to various attacks, such as replay, impersonation, trace, and session key disclosure attacks. Thus, in this article, a secure and lightweight authentication scheme is proposed for UAVs and RSUs using the blockchain technology. The proposed scheme is analyzed using informal and formal methods including Burrows-Abadi-Nikoogadam (BAN) logic, automated validation of internet security protocols and applications (AVISPA) simulation tool, and real-or-random (RoR) model, and its performance is compared with that of related schemes. The results reveal that the proposed scheme is more efficient and secure as compared to the other competing schemes.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】Blockchain; wireless communication; unmanned aerial vehicle; lightweight authentication; physically unclonable function; security

【发表时间】2023

【收录时间】2023-07-16

【文献类型】 实验仿真

【DOI】 10.1109/ACCESS.2023.3286016

【Author】 Mallick, Soubhagya Ranjan Lenka, Rakesh K. Goswami, Veena Sharma, Suraj Dalai, Asish Kumar Das, Himansu Barik, Rabindra K.

【Source】IEEE ACCESS

【影响因子】3.476

【主题类别】

区块链应用-实体经济-医疗领域

【Abstract】Most recent research on healthcare systems has focused on integrating the Internet of Things (IoT), Blockchain technology, and cloud computing to enhance the performance of IoT devices with limited resource availability, create smart healthcare platforms, and offer patients the best possible healthcare service. Modern healthcare systems use large-scale sensor devices to address many challenges brought on by the conventional delivery of healthcare services. Most studies have lately identified data collection, massive data processing, geolocating, access management, device prioritization, and storing as primary issues in most IoT healthcare systems. Decentralization, privacy, security, scalability, trust, anonymity, and building geospatial-based intelligent healthcare systems for patient care are significant difficulties that most healthcare systems today must overcome. Blockchain technology in healthcare platforms is noteworthy and innovative since it opens platforms for data privacy, anonymity, and validity through the consensus process. In this work, we proposed a novel decentralized Blockchain-enabled geospatial service architecture for smart healthcare systems called BCGeo. The proposed framework offers an online geospatial healthcare service for residents of Bhubaneswar, a city in India, who are newcomers to the city and are less familiar with its local healthcare organizations. An analytical queueing method prioritizes serving Critical patients more than other patients. In contrast to previously proposed frameworks, the proposed framework includes immutability, scalability, geospatial mapping, patient prioritizing, and decentralized privacy protection policies for addressing the technical challenges in most of the current healthcare systems. Additionally, it explains the performance analysis of BCGeo. It includes graphs showing the various possible outcomes of arithmetic operations, performance measurement, and experimental results on the proposed architecture.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】Blockchain; geospatial web services; medical data; healthcare; queueing model; IoT

【发表时间】2023

【收录时间】2023-07-16

【文献类型】 实验仿真

【DOI】 10.1109/ACCESS.2023.3283776

【Author】 Kavasidis, Isaak Lallas, Efthimios Mountzouris, Georgios Gerogiannis, Vassilis C. Karageorgos, Anthony

【Source】IEEE ACCESS

【影响因子】3.476

【主题类别】

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【Abstract】The plethora of available data in various manufacturing facilities has boosted the adoption of various data analytics methods, which are tailored to a wide range of operations and tasks. However, fragmentation of data, in the sense that chunks of data could possibly be distributed in geographically sparse areas, hampers the generation of better and more accurate intelligent models that would otherwise benefit from the larger quantities of available data which are derived from various operations taking place at different locations of a manufacturing process. Moreover, in regulated industrial sectors, such as in the medical and the pharmaceutical fields, sector-specific legislation imposes strict criteria and rules for the privacy, maintenance and long-term storage of data. Process reproducibility is often an essential requirement in these regulated industrial sectors, and this issue could be supported by AI models which can be applied to enforce traceability, auditability and integrity of every initial, intermediate and final piece of data used during the AI model training process. In this respect, blockchain technologies could be potentially also useful for enabling and enforcing such requirements. In this paper, we present a multi-blockchain-based platform integrated with federated learning functionalities to train global AI (deep learning) models. The proposed platform maintains an audit trail of all information pertaining the training process using a set of blockchains in order to ensure the training process's immutability. The applicability of the proposed framework has been validated on three tasks by applying three state-of-the-art federated learning algorithms on an industrial pharmaceutical dataset based on two manufacturing lines, achieving promising in terms of both generalizability and convergence time.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】Blockchain; data integrity; federated learning; industry 4.0; pharmaceutical industry

【发表时间】2023

【收录时间】2023-07-16

【文献类型】

【DOI】 10.1109/ACCESS.2023.3282316

【Author】 Yogarajan, Lovina Masukujjaman, Mohammad Ali, Mohd Helmi Khalid, Norlin Osman, Lokhman Hakim Alam, Syed Shah

【Source】AGRICULTURE-BASEL

【影响因子】3.408

【主题类别】

区块链治理-市场治理-技术采用

【Abstract】This study examines the effect of blockchain adoption on the agri-food supply chain. A systematic literature review approach was used to analyze and synthesize the findings from the existing literature, focusing on fundamental research themes, research gaps, and the direction of future research on the impact of blockchain adoption in the agri-food supply chain. Twenty-seven full-length articles were considered and thematically analyzed in this study. The authors identified eight themes from the literature, including factors responsible for blockchain adoption and new research areas such as digitalization and the impact after adoption. These themes shed light on the agri-food supply chain practices following the adoption of blockchain technology. Moreover, this study provides a foundation for strategic and policy initiatives in the agri-food industry involving blockchain technology. The findings indicate that critical factors driving blockchain technology adoption in the agri-food industry include ensuring food traceability and transparency, food safety and security, food supply and logistics, food integrity, environmental awareness, and reducing food waste. Additionally, this study highlights the importance of guidelines and policy-level involvement after adopting blockchain technology, particularly in facilitating accurate quantification and promoting digitalization to address challenges and streamline processes. The study concludes by suggesting future research avenues for blockchain technology in the supply chain domain.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】agri-food industry; blockchain technology; supply chain; systematic literature review

【发表时间】2023

【收录时间】2023-07-16

【文献类型】 综述

【DOI】 10.3390/agriculture13061173

【Author】 Mooij, A. M.

【Source】COMPUTER LAW & SECURITY REVIEW

【影响因子】2.707

【主题类别】

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【Abstract】Where lies the balance between privacy and transparency? It is an everlasting question, that lied at the heart of the recent judgement of the Court of Justice of the European Union (CJEU). The case concerned the Ultimate Beneficial Ownership registry which contains the information of who has a financial interest in companies. The registry was open to the pub-lic. The wide accessibility aimed to increase transparency and thereby prevent money laundering and the financing of terrorism (MLFT). The registry was open to public access and the question to the CJEU was whether the accessibility was lawful. The judgement of the CJEU declared the wide accessibility to be unlawful. The judgement acknowledges the im-portance of the concept of transparency but nevertheless considers the public access to be unproportionate. Leaving the question of how to balance transparency with privacy. The answer can be found in redesigning the European electronic Identity. This case-note will first discuss the facts of the case in section 2. The note will then continue by summarizing the opinion of the Advocate General in section 3. In section 4 the note will summarize the judgement of the CJEU. The case note will end in section 5 with an analysis of the impact of the case in relation to developing a digital European Identity. (c) 2023 A.M. Mooij. Published by Elsevier Ltd.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】Ultimate beneficial ownership; registry; UBO-registry; Privacy; Transparency; Data-ownership; Data wallets; eID; European digital identity; Blockchain; Digital economy

【发表时间】2023

【收录时间】2023-07-16

【文献类型】

【DOI】 10.1016/j.clsr.2023.105796

【Author】 Yang, Xiaodong Wen, Haoqi Liu, Lei Ren, Ningning Wang, Caifen

【Source】MATHEMATICAL BIOSCIENCES AND ENGINEERING

【影响因子】2.194

【主题类别】

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【Abstract】The Internet of Things (IoT), driven by wireless communication and other technologies, is gradually entering our lives and promoting the transformation of society from "informatization" to "intelligence". Certificateless signature (CLS) eliminates the characteristic of certificate management, making it an effective method for verifying large-scale data in the IoT environment. Nevertheless, hash functions are regarded as ideal random oracles in the security proofs of most CLS schemes, which cannot guarantee the security of CLS schemes in reality. In response to this problem, Shim devised a CLS scheme without random oracles in the standard model and declared it to be provably secure. Unfortunately, in this paper, we cryptanalyze Shim's CLS scheme and demonstrate that it is not resistant to public key replacement attacks from a Type I attacker. Furthermore, to further improve the security of the Shim CLS scheme and avoid the single-point failure of the KGC and the signature forgery initiated, we propose a blockchain-based CLS scheme without a random oracle. Finally, we evaluate the comprehensive performance, and while maintaining the computational and communication performance of the Shim scheme, we resist both Type I and Type II attackers, as well as signature forgery initiated against public parameters.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】certificateless signature; forgery attack; random oracle model; blockchain; unforgeability

【发表时间】2023

【收录时间】2023-07-16

【文献类型】

【DOI】 10.3934/mbe.2023567

【Author】 Liu, Yishu Li, Xiaojuan

【Source】CANADIAN JOURNAL OF CIVIL ENGINEERING

【影响因子】1.771

【主题类别】

区块链治理-市场治理-技术采用

【Abstract】Prefabricated buildings have become an effective way to sustainable development. At the same time, the process from component production to assembly also puts forward higher requirements for data between the subjects of each project. As a powerful database storage system, blockchain technology (BCT) can meet the needs of it, but the BCT has not been widely used. In addition, the Chinese government has issued a series of policy documents in recent years to promote smart digital technologies such as BCT, which have not been well implemented. Therefore, this paper analyzes the decision-making behavior mechanism of stakeholders and the factors that affect the implementation of BCT by establishing an asymmetric evolutionary game model. The model results reveal how to effectively promote the application of BCT in the supply chain of prefabricated buildings and help the government to stimulate the enthusiasm of other stakeholders to use BCT.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】prefabricated building; supply chain; blockchain; evolutionary game

【发表时间】2023

【收录时间】2023-07-16

【文献类型】 实证数据

【DOI】 10.1139/cjce-2022-0245

【Author】 Lu, Qiuchen Chen, Long Xie, Xiang Fang, Zigeng Ye, Zhen Pitt, Michael

【Source】PROCEEDINGS OF THE INSTITUTION OF CIVIL ENGINEERS-ENGINEERING SUSTAINABILITY

【影响因子】1.368

【主题类别】

--

【Abstract】It has been witnessed that digital technology has the potential to improve the efficiency of emergent healthcare management in COVID-19, which however has not been widely adopted due to unclear definition and configuration. This research aims to propose a proof of concept of digital twins for emergent healthcare management through configuring the cyber and functional interdependencies of healthcare systems at local and city levels. Critical interdependencies of healthcare systems have been firstly identified at both levels, then the information and associated cyber and functional interdependencies embedded in seven critical hospital information systems (HISs) have been identified and mapped. The proposed conceptual digital twin-based approach has been then developed for information coordination amongst these critical HISs at both local and city levels based on permissioned blockchain to (1) integrate and manage the information from seven critical HISs, and further (2) predict the demands of medical resources according to patient trajectory. A case study has been finally conducted at three hospitals in London during the COVID-19 period, and the results showed that the developed framework of blockchain-integrated digital twins is a promising way to provide more accurate and timely procurement information to decision-makers and can effectively support evidence-based decisions on medical resource allocation in the pandemic.

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】2023-07-16

【文献类型】

【DOI】 10.1680/jensu.22.00073