【Author】 Li, Beibei Guo, Yuqing Du, Qingyun Zhu, Ziqing Li, Xiaohui Lu, Rongxing

【Source】IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS CCF-C

【影响因子】11.648

【主题类别】

区块链应用-实体经济-电力领域

【Abstract】and accurate prediction of charging pile energy demands in electric vehicle (EV) charging networks contributes significantly to load shedding and energy conservation. However, existing methods usually suffer from either data privacy leakage problems or heavy communication overheads. In this article, we propose a novel blockchain-based personalized federated deep learning scheme, coined P-3, for privacy-preserving energy demands prediction in EV charging networks. Specifically, we first design an accurate deep learning-based energy demands prediction model for charging piles, by making use of the CNN, BiLSTM, and attention mechanism. Second, we develop a blockchain-based hierarchical and personalized federated learning framework with a consensus committee, allowing charging piles to collectively establish a comprehensive energy demands prediction model in a low-latency and privacy-preserving way. Last, a CKKS cryptosystem based secure communication protocol is crafted to guarantee the confidentiality of model parameters while model training. Extensive experiments on two real-world datasets demonstrate the superiorities of the proposed P-3 scheme in accurately predicting real-time energy demands over state-of-the-art schemes. Further, the P-3 scheme can achieve reasonably low computational costs, compared with other homomorphic-based schemes, such as Paillier and BFV.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】Predictive models; Collaborative work; Hidden Markov models; Data models; Electric vehicles; Load modeling; Electric vehicle charging; Blockchain; CKKS homomorphic encryption; electric vehicle (EV) charging networks; energy demands prediction; federated learning; privacy preservation

【发表时间】2023

【收录时间】2023-05-16

【文献类型】 理论模型

【DOI】 10.1109/TII.2022.3182972

【Author】 Yu, Jiguo Liu, Suhui Xu, Minghui Guo, Hechuan Zhong, Fangtian Cheng, Wei

【Source】IEEE INTERNET OF THINGS JOURNAL CCF-C

【影响因子】10.238

【主题类别】

区块链技术-协同技术-物联网

【Abstract】Internet of Things (IoT) devices usually stores data on clouds for computational overhead offloading and easy data sharing. The data owners, as a result, usually have concerns about the security and privacy of their data stored in such cloud-assisted IoT (C-IoT) systems. Traditional encryption and search primitives, including attribute-based encryption (ABE) and public-key encryption with keyword search (PEKS), however, suffer from high overheads in decryption and revocation, and privacy leakage in search. To address these issues, we propose an efficient revocable and searchable multiauthority ABE (MA-ABE) scheme named ERS-ABE, which utilizes blockchain (BC) technology to implement keyword-based search and dynamic user management. ERS-ABE also adopts cloud-assisted decryption to improve the efficiency of IoT devices. It has been proven to be secure against the selective replayable chosen-ciphertext attacks and the chosen-keyword attacks under the random oracle model. The feasibility and efficiency of ERS-ABE have been evaluated through theoretical analysis and extensive simulation studies. The results indicate that EAR-ABE performs better over the state-of-the-art in both storage and computational overheads. Particularly, the operations that are usually done by a central server but taken by a BC in EAR-ABE cost only a few seconds.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】Internet of Things; Encryption; Servers; Cloud computing; Blockchains; Security; Task analysis; Attribute-based encryption (ABE); blockchain (BC); cloud-assisted Internet of Things (IoT); public-key encryption with keyword search (PEKS); revocation

【发表时间】2023

【收录时间】2023-05-16

【文献类型】 理论模型

【DOI】 10.1109/JIOT.2022.3213829

【Author】 Maiti, Moinak Ghosh, Uttam

【Source】IEEE INTERNET OF THINGS JOURNAL CCF-C

【影响因子】10.238

【主题类别】

区块链技术-协同技术-物联网

【Abstract】The purpose of the present study is to comprehensively evaluate the present status of the Internet of Things (IoT) in fintech ecology and ahead. The study finds that the concept of communication between the devices and financial technology is not new yet only a considerable number of studies are done on IoT in fintech. The study highlights that both the IoT and fintech show an upward trend in the marketspace. Then, the study identifies that the increase in the demand for blockchain, Internet, mobile network, cloud storage, and IoT devices among the organization are the key drivers of IoT in fintech. The study also shows that the issues related to sustainable energy, digital payments, and security are the current area of applications and challenges for IoT in Fintech. Thereafter, the study concludes that the growth of neurotech will influence the next-generation IoT in fintech as the catalytic agent. Neurotech-enabled IoT (NIoT) in Fintech will enhance the man, machine, and memory (3Ms) relationship for business process innovation.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】Blockchain; Security; Finance; Industries; Industrial Internet of Things; Financial services; Cloud computing; Fintech; human-computer interface; Internet of Things (IoT); Internet of Thoughts; neurotech; neurotech-enabled IoT (NIoT)

【发表时间】2023

【收录时间】2023-05-16

【文献类型】 观点阐述

【DOI】 10.1109/JIOT.2021.3063494

【Author】 Yang, Chen Lan, Shulin Zhao, Zhiheng Zhang, Mengdi Wu, Wei Huang, George Q.

【Source】IEEE INTERNET OF THINGS JOURNAL CCF-C

【影响因子】10.238

【主题类别】

区块链应用-实体经济-供应链

【Abstract】In perishable supply chain logistics, even a small departure from the required storage conditions at any distribution link can compromise the quality of transported products, such as food, pharmaceuticals, and other bioproducts, resulting in big losses for the businesses involved or even threats to public health. To enhance quality management (QM) and consumer confidence, an edge-cloud blockchain and Internet of Everything (IoE)-enabled QM platform is proposed to achieve low delay and rapid response for sensor data acquisition, authentication, consistency, and transparency in cold supply chain logistics. Then, we design an adaptive data smoothing and compression (ADSC) mechanism to reduce IoE data size, and analyze and store those data in the edge gateways with limited computation and storage capacity for correctly characterizing logistics operations and transactions. Moreover, to ensure the data integrity during last-mile delivery, the mobile edge gateway is adopted when the goods are temporarily off the communication range of the fixed edge gateway in the truck. Then, we propose a synchronization engine with a formal workflow applied at mobile and fixed edge gateways where data blocks are generated, validated, and synchronized with the cloud. Finally, a real-life case study on vaccine logistics is introduced to verify our proposed approach with results presented.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】Blockchains; Supply chains; Quality management; Internet of Things; Logic gates; Temperature sensors; Monitoring; Edge-cloud blockchain; Internet of Everything (IoE); perishable supply chain logistics (SCL); quality management (QM)

【发表时间】2023

【收录时间】2023-05-16

【文献类型】 实验仿真

【DOI】 10.1109/JIOT.2022.3142095

【Author】 Otoum, Safa Al Ridhawi, Ismaeel Mouftah, Hussein

【Source】IEEE INTERNET OF THINGS JOURNAL CCF-C

【影响因子】10.238

【主题类别】

区块链技术-协同技术-联邦学习

【Abstract】Through the digitization of essential functional processes, Industry 4.0 aims to build knowledgeable, networked, and stable value chains. Network trustworthiness is a critical component of network security that is built on positive interactions, guarantees, transparency, and accountability. Blockchain technology has drawn the attention of researchers in various fields of data science as a safe and low-cost platform to track a large number of eventual transactions. Such a technique is adaptable to the renewable energy-trade sector, which suffers from security and trustworthy issues. Having a decentralized energy infrastructure, that is supported by blockchain and artificial intelligence, enables smart and secure microgrid energy trading. The new age of industrial production will be highly versatile in terms of production volume and customization. As such a robust collaboration solution between consumers, businesses, and suppliers must be both secure and sustainable. In this article, we introduce a cooperative and distributed framework that relies on computing, communication, and intelligence capabilities of edge and end devices to enable secure energy trading, remote monitoring, and network trustworthiness. The blockchain and federated learning-enabled solution provide secure energy trading between different critical entities. Such a technique, coupled with 5G and beyond networks, would enable mass surveillance, monitoring, and analysis to occur at the edge. Performance evaluations are conducted to test the effectiveness of the proposed solution in terms of reliability and responsiveness in a vehicular network energy-trade scenario.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】Artificial intelligence (AI); blockchain; critical energy infrastructure; federated learning (FL); Industry 5.0

【发表时间】2023

【收录时间】2023-05-16

【文献类型】 理论模型

【DOI】 10.1109/JIOT.2022.3140430

【Author】 Dixit, Akanksha Singh, Arjun Rahulamathavan, Yogachandran Rajarajan, Muttukrishnan

【Source】IEEE INTERNET OF THINGS JOURNAL CCF-C

【影响因子】10.238

【主题类别】

区块链技术-协同技术-物联网

【Abstract】As the world calls it, data is the new oil. With vast installments of Industrial Internet of Things (IIoT) infrastructure, data is produced at a rate like never before. Similarly, artificial intelligence (AI) and machine learning (ML) solutions are getting integrated to numerous services, making them "smarter." However, the data remain fragmented in individual organizational silos inhibiting data value extraction to its full potential. Digital marketplaces are emerging to allow data owners to monetize these data. Yet concerns, such as privacy, security, and unfair payment settlement deter adoption of such platforms. In addition, the state-of-the-art platforms are under the control of large multinational corporations with no transparency between the buyer and seller in terms of payment details, listing, data discovery, and storage. In this work, a novel decentralized platform of a digital data marketplace for IoT data has been proposed. The platform leverages a decentralized data streaming network to host IoT data in a reliable and fault-tolerant manner. The platform ensures fair trading, data storage, and delivery in a privacy-preserving manner and trust metric calculation for actors in the network. In order to study the feasibility of the proposed platform, an opensource library is developed using Hyperledger Fabric and data network layer built on VerneMQ, the library is deployed on a real-time Google cloud platform. The library is tested and results are analyzed for throughput, overheads, and scalability. [Dixit, Akanksha; Rajarajan, Muttukrishnan] City Univ London, Sch Math & Comp Sci Engn, London EC1V 0HB, England; [Singh, Arjun] Nanyang Technol Univ, Sch Comp Sci & Engn, Singapore, Singapore; [Rahulamathavan, Yogachandran] Loughborough Univ London, Inst Digital Technol, London LE11 3TU, England City University London; Nanyang Technological University & National Institute of Education (NIE) Singapore; Nanyang Technological University; Loughborough University Dixit, A (通讯作者)，City Univ London, Sch Math & Comp Sci Engn, London EC1V 0HB, England. akanksha.dixit@city.ac.uk; r.muttukrishnan@city.ac.uk 34 0 0 0 0 IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC PISCATAWAY 445 HOES LANE, PISCATAWAY, NJ 08855-4141 USA 2327-4662 IEEE INTERNET THINGS IEEE Internet Things J. FEB 15 2023 10 4 2934 2944 10.1109/JIOT.2021.3120640 http://dx.doi.org/10.1109/JIOT.2021.3120640 11 Computer Science, Information Systems; Engineering, Electrical & Electronic; Telecommunications Science Citation Index Expanded (SCI-EXPANDED) Computer Science; Engineering; Telecommunications D0ZT2 Green Published, Green Accepted 2023-05-06 WOS:000966099800001

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】Blockchains; Peer-to-peer computing; Industrial Internet of Things; Fault tolerant systems; Fault tolerance; Security; Measurement; Blockchain; data marketplace; Industrial Internet of Things (IIoT); smart contracts

【发表时间】2023

【收录时间】2023-05-16

【文献类型】 实验仿真

【DOI】 10.1109/JIOT.2021.3120640

【Author】 Ranathunga, Tharindu McGibney, Alan Rea, Susan Bharti, Sourabh

【Source】IEEE INTERNET OF THINGS JOURNAL CCF-C

【影响因子】10.238

【主题类别】

区块链技术-协同技术-联邦学习

【Abstract】Traditional federated learning (FL) adopts a client-server architecture where FL clients (e.g., IoT edge devices) train a common global model with the help of a centralized orchestrator (cloud server). However, current approaches are moving away from centralized orchestration toward a decentralized one in order to fully adapt FL for a cross-silo configuration with multiple organizations acting as clients. State-of-the-art decentralized FL mechanisms make at least one of the following assumptions: 1) clients are trusted organizations and cannot inject low-quality model updates for aggregation and 2) client local models can be shared with other clients or a third party for verification of low-quality updates. This article proposes a Blockchain-based decentralized framework for scenarios where participatory organizations are believed to be fully capable of injecting low-quality model updates as they are not willing to expose their local models to any other entity for verification purpose. The proposed decentralized FL framework adopts a novel hierarchical network of aggregators with the ability to punish/reward organizations in proportion to their local model quality updates. The framework is flexible and unlike state-of-the-art solutions, prevents a single entity from possessing the aggregated model in any FL round of training. The proposed framework is tested with respect to off-chain and on-chain performance in two Industry 4.0 use cases: 1) predictive maintenance and 2) product visual inspection. A comparative evaluation against the state-of-the-art reveals the proposed framework's utility in terms of minimizing model convergence time and latency while maximizing accuracy and throughput.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】Data models; Blockchains; Training; Computational modeling; Servers; Predictive models; Fourth Industrial Revolution; Blockchain; federated learning (FL); industry 4.0

【发表时间】2023

【收录时间】2023-05-16

【文献类型】 理论模型

【DOI】 10.1109/JIOT.2022.3218704

【Author】 Lin, Yijing Gao, Zhipeng Shi, Weisong Wang, Qian Li, Huangqi Wang, Miaomiao Yang, Yang Rui, Lanlan

【Source】IEEE INTERNET OF THINGS JOURNAL CCF-C

【影响因子】10.238

【主题类别】

区块链应用-实体经济-工业互联网

【Abstract】The rapid development of digital technology is reshaping the architecture of the Industrial Internet of Things (IIoT). The traditional architecture cannot process vast amounts of data exchanges and provide entities with trust. The future IIoT is expected to be a decentralized architecture in which blockchain and digital twin-driven IIoT can enable trusted data exchanges. However, this architecture cannot obtain huge amounts of external real-time data and isolated data. Moreover, it cannot handle complex industrial computing tasks. Therefore, we combine oracle with decentralized learning to propose a novel IIoT-oriented digital twin architecture. We also propose an effective decentralized collaboration mechanism to support external data and resources exchanges. Moreover, we propose a novel computing collaboration mechanism to expand the learning capabilities of the industrial ecology. Experiments show that our proposed paradigm has less processing time, a more stable process, and better learning ability compared to other paradigms.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】Blockchains; Collaboration; Computer architecture; Industrial Internet of Things; Digital twin; Task analysis; Edge computing; Blockchain; digital twin; Industrial Internet of Things (IIoT); oracle

【发表时间】2023

【收录时间】2023-05-16

【文献类型】 理论模型

【DOI】 10.1109/JIOT.2022.3150789

【Author】 Tao, Yuechen Li, Bo Li, Baochun Chen, Lei

【Source】IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING CCF-A

【影响因子】9.235

【主题类别】

区块链应用-实体经济-支付领域

【Abstract】With their instant transaction confirmation and high scalability, payment channel networks (PCNs), running off-chain and in parallel with blockchain systems, have recently attracted a substantial amount of research attention. It has been shown that there exists a significant gap between the theoretically optimal performance and the performance achievable given the stringent privacy requirements in practice. However, it remains unclear what the fundamental performance limits and key factors involved are, which turns out to be a challenging problem due to the unique characteristics in PCNs. In this paper, we, for the first time, develop a mathematical model capturing the PCN performance, and examine the impact from a number of factors including channel capacity and transactions. We are articularly interested in obtaining the gap between the theoretically optimal performance and the performance achievable in practice, which characterizes the design space in PCNs for scheduling transactions. Specifically, we derive how different transactions and channel capacities affect the PCN performance and the performance gap. Our analytical characterization of PCNs offers an in-depth understanding on their fundamental trade-off, and provides important insights on the design of PCNs.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】Channel capacity; Relays; Privacy; Blockchains; Upper bound; Security; Routing protocols; Blockchain; payment channel network; off-chain transaction; channel capacity; performance gap; privacy

【发表时间】2023

【收录时间】2023-05-16

【文献类型】 理论模型

【DOI】 10.1109/TKDE.2021.3120842

【Author】 Baccour, Emna Allahham, Mhd Saria Erbad, Aiman Mohamed, Amr Hussein, Ahmed Refaey Hamdi, Mounir

【Source】IEEE COMMUNICATIONS MAGAZINE

【影响因子】9.030

【主题类别】

区块链技术-协同技术-6G

【Abstract】The vision of the upcoming 6G technologies, characterized by ultra-dense networks, low latency, and fast data rate, is to support pervasive artificial intelligence (PAI) using zero touch solutions enabling self-X (e.g., self-configuration, self-monitoring, and self-healing) services. However, the research on 6G is still in its infancy, and only the first steps have been taken to conceptualize its design, investigate its implementation, and plan for use cases. Toward this end, academia and industry communities have gradually shifted from theoretical studies of AI distribution to real-world deployment and standardization. Still, designing an end-to-end framework that systematizes the AI distribution by allowing easier access to the service using a third-party application assisted by zero touch service provisioning has not been well explored. In this context, we introduce a novel platform architecture to deploy a zero touch PAI as a service (PAlaaS) in 6G networks supported by a blockchain-based smart system. This platform aims to standardize the PAI at all levels of the architecture and unify the interfaces in order to facilitate service deployment across application and infrastructure domains, relieve users' worries about cost, security, and resource allocation, and at the same time respect the 6G's stringent performance requirements. As a proof of concept, we present a federated-learning-as-a-service use case where we evaluate the ability of our proposed system to self-optimize and self-adapt to the dynamics of 6G networks in addition to minimizing the users' perceived costs.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】6G mobile communication; Knowledge engineering; Costs; Prototypes; Standardization; Security; Resource management

【发表时间】2023

【收录时间】2023-05-16

【文献类型】 实验仿真

【DOI】 10.1109/MCOM.001.2200508

【Author】 Calafat-Marzal, C. Sanchez-Garcia, M. Marti, L. Puertas, R.

【Source】COMPUTERS AND ELECTRONICS IN AGRICULTURE

【影响因子】6.757

【主题类别】

区块链应用-实体经济-农牧领域

【Abstract】Digital transformation affects all stages of the agri-food value chain. Digitalisation is being combined with innovations and eco-innovations to gain a competitive advantage and ensure greater sustained competitiveness. However, not all technologies have been implemented in the same way and at the same pace by the different companies in the agri-food sector. The aim of this research is to identify the internal and external drivers of digitalisation in agri-food companies and to develop a synthetic index to rank companies based on those drivers, before examining the relationship between the position in the ranking and innovation. The results reveal that the decisive drivers are management support and competitive pressure rather than external support from government policies or suppliers. Higher ranking companies in terms of the digitalisation process are more proactive in introducing product and radical innovations and are the most eco-innovative and thus sustainability-oriented. Finally, results show that the digitalisation of the sector is marked by the depth of technology implementation, specifically IoT, big data and artificial intelligence. Blockchain technology does not currently make a difference as it is not widely used.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】Cross -Efficiency; DEA; Digital technologies; Innovation; Eco-innovation

【发表时间】2023

【收录时间】2023-05-16

【文献类型】 实证数据

【DOI】 10.1016/j.compag.2023.107700

【Author】 Huang, Cheng Wang, Wei Liu, Dongxiao Lu, Rongxing Shen, Xuemin

【Source】IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY

【影响因子】6.239

【主题类别】

区块链应用-实体经济-保险领域

【Abstract】It is well known that auto insurance companies (ICs) use personalized car insurance (PCI) to continuously track drivers' behavior to determine their auto premiums. However, drivers inevitably have concerns about the transparency of data collection/processing and the potential privacy leakage. In this paper, we propose a new PCI scheme to achieve privacy preservation and transparency with the assistance of a consortium blockchain. Specifically, a blockchain is first established by a group of consortium members, and each IC can deploy insurance contracts on the blockchain to support public verification of data collection/processing and thus fulfill the transparency requirement. Then a verifiable and privacy-preserving driving behavior evaluation protocol is designed by tailoring partially homomorphic encryption and zero-knowledge proof techniques. Drivers can use the protocol to interact with ICs through the contracts, and ICs can learn drivers' behavior and set corresponding auto premiums by analyzing encrypted driving data. Furthermore, a third-party auditor (TPA) is authorized by drivers and ICs to audit encrypted driving data on the contracts and resist fraud attacks. We model the contract-based auditing as a recursive inspection game where TPA can minimize the number of audits to detect data fraud and penalize malicious drivers according to Nash equilibrium. Therefore, the proposed PCI scheme can guarantee that most of the collected driving data are not biased. Formal simulation-based security analysis is given to prove the security of the proposed scheme, and a proof-of-concept prototype is also developed on an open-source blockchain to demonstrate the feasibility.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】Vehicles; Insurance; Behavioral sciences; Integrated circuit modeling; Blockchains; Safety; Privacy; Blockchain; data auditing; fraud resistance; personalized car insurance; privacy preservation

【发表时间】2023

【收录时间】2023-05-16

【文献类型】 实验仿真

【DOI】 10.1109/TVT.2022.3215811

【Author】 Sang, Guohuai Chen, Jingwei Liu, Yiliang Wu, Haiqin Zhou, Yong Jiang, Shunrong

【Source】IEEE TRANSACTIONS ON NETWORK AND SERVICE MANAGEMENT CCF-C

【影响因子】4.758

【主题类别】

区块链应用-实体经济-交通领域

【Abstract】Privacy-preserving authentication is designed to protect vehicular ad-hoc networks (VANETs) from illegitimate users and fake messages while maintaining the privacy of legitimate users' identities. However, existing authentication schemes have disadvantages such as non-transparent certificate issuance and revocation, high identity authentication and certificate revocation overhead. In this paper, we propose an efficient privacy-preserving authentication scheme with on-chain certificate management (PACM) in VANETs, where the service manager (SM) of each domain serves as a node of the blockchain to build a distributed system. Specifically, based on elliptic curve cryptography (ECC) and exclusive-OR operations, we achieve secure and lightweight mutual authentication between vehicles and roadside units (RSUs) by regularly updated pseudonyms. Then, we adopt the blockchain to record the issuance and revocation of all certificates, which makes SM's activities transparent. Moreover, we introduce the counting garbled bloom filter (CGBF) to enable fast query and revocation of certificates. Besides, we design a non-forgeable and non-repudiable billing mechanism based on the hash chain technology. Security analysis and experimental results show that PACM achieves stronger security with less overhead.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】Authentication; Blockchains; Privacy; Vehicular ad hoc networks; Public key; Scalability; Receivers; VANETs; blockchain; authentication; privacy protection; certificate management

【发表时间】2023

【收录时间】2023-05-16

【文献类型】 理论模型

【DOI】 10.1109/TNSM.2022.3201551

【Author】 Papanikolaou, Alexandros Alevizopoulos, Aggelos Ilioudis, Christos Demertzis, Konstantinos Rantos, Konstantinos

【Source】ELECTRONICS

【影响因子】2.690

【主题类别】

区块链应用-实体经济-计算机网络

【Abstract】Network traffic analysis can raise privacy concerns due to its ability to reveal sensitive information about individuals and organizations. This paper proposes a privacy-preserving Block-chained AutoML Network Traffic Analyzer (BANTA). The system securely stores network traffic logs in a decentralized manner, providing transparency and security. Differential privacy algorithms protect sensitive information in the network flow logs while allowing administrators to analyze network traffic without the risk of leakages. The BANTA uses blockchain technology, where smart contracts automate the process of network traffic analysis, and a multi-signature system ensures the system's security, safety, and reliability. The proposed approach was evaluated using a real-world network traffic dataset. The results demonstrate the system's high accuracy and real-time anomaly detection capabilities, which makes it well-suited for scalable cybersecurity operations. The system's privacy protection, decentralized storage, automation, multi-signature system, and real-world effectiveness ensure that the organization's data is private, secure, and effectively protected from cyber threats, which are the most vexing issue of modern cyber-physical systems.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】cyber threat intelligent; cyber threat information; network traffic analysis; industrial environment; blockchain; differential privacy

【发表时间】2023

【收录时间】2023-05-16

【文献类型】 理论模型

【DOI】 10.3390/electronics12061484

【Author】 Zhang, Huang Zhang, Fangguo Gu, Ke

【Source】JOURNAL OF INTERNET TECHNOLOGY

【影响因子】1.140

【主题类别】

区块链技术-核心技术-加密算法

【Abstract】Anonymity is a necessary property for a ring signature scheme and also its variant such as linkable ring signature and traceable ring signature schemes, which are especially useful in blockchains. Intuitively, those variants were designed for detecting or seeking the dishonest signatory, however, at the cost of reducing the anonymity of a traditional ring signature. As a result, while various constructions of strongly anonymous ring signatures were well-known, a linkable ring signature scheme with the same property was an open problem for a long time.In this work, we launched a so-called denying attack to show the gap between an arbitrary ring signature and linkable ring signature transparently, which further confirmed the widely believed impossibility in building a linkable ring signature with both strong anonymity and strong linkability.For a concrete instance, we also applied this attack to the scheme in IEEE TKDE, which to the best of our knowledge is the unique linkable ring signature both with strong anonymity and strong linkability so far.The concrete attack is easily launched in blockchain so that it shows the impossibility of providing strong anonymity via linkable ring signature for blockchain applications, since strong likability is indispensable.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】Blockchain; Denying attack; Linkable ring signature; Strong anonymity; Strong linkability

【发表时间】2023

【收录时间】2023-05-16

【文献类型】 理论模型

【DOI】 10.53106/160792642023032402028

【Author】 Wang, Yu Qin, Xiaolin Xiong, Ling He, Mingxing

【Source】JOURNAL OF INTERNET TECHNOLOGY

【影响因子】1.140

【主题类别】

区块链应用-实体经济-医疗领域

【Abstract】With the rapid development of information technology, medical treatments are gradually transforming into digitalization and informatization. The diverse sources and scopes of the medical data are sensitive and significant. As important data assets, medical data are constantly being analyzed and mined. Because of the huge commercial value of medical data, the problems of privacy leakage exist in the centralized information system. They cannot adapt to complex medical environment. Most of the current authentication mechanisms use passwords for verification. It is not easy for users to remember all usernames and passwords. Based on these problems, we design single-signAuthentication scheme, PSSOA) and blockchain (Improved shares to defend against malicious adversaries.

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【Keywords】Blockchain; PSSOA; ICPDS; Medical data; Threshold

【发表时间】2023

【收录时间】2023-05-16

【文献类型】 实验仿真

【DOI】 10.53106/160792642023032402021