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Artificial intelligence in physiological characteristics recognition for internet of things authentication

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Digital Communications and Networks 2024年第3期10卷 740-755页

作者： Zhimin Zhang Huansheng Ning Fadi Farha Jianguo Ding ki.-kwang raymond choo School of Computer and Communication Engineering University of Science and Technology BeijingBeijing100083China Beijing Engineering Research Center for Cyberspace Data Analysis and Applications Beijing100083China Faculty of Informatics Engineering Aleppo UniversityAleppoSyria Department of Computer Science Blekinge Institute of Technology37179KarlskronaSweden Department of Information Systems and Cyber Security University of Texas at San AntonioSan AntonioTX78249-0631USA

Effective user authentication is key to ensuring equipment security,data privacy,and personalized services in Internet of Things(IoT)***,conventional mode-based authentication methods(e.g.,passwords and smart cards)may be vulnerable to a broad range of attacks(e.g.,eavesdropping and side-channel attacks).Hence,there have been attempts to design biometric-based authentication solutions,which rely on physiological and behavioral *** characteristics need continuous monitoring and specific environmental settings,which can be challenging to implement in ***,we can also leverage Artificial Intelligence(AI)in the extraction and classification of physiological characteristics from IoT devices processing to facilitate ***,we review the literature on the use of AI in physiological characteristics recognition pub-lished after *** use the three-layer architecture of the IoT(i.e.,sensing layer,feature layer,and algorithm layer)to guide the discussion of existing approaches and their *** also identify a number of future research opportunities,which will hopefully guide the design of next generation solutions.

关键词： Physiological characteristics recognition Artificial intelligence Internet of things Biological-driven authentication

Survey on digital twins for Internet of Vehicles:Fundamentals,challenges,and opportunities

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Digital Communications and Networks 2024年第2期10卷 237-247页

作者： Jiajie Guo Muhammad Bilal Yuying Qiu Cheng Qian Xiaolong Xu ki.-kwang raymond choo School of Computer and Software Nanjing University of Information Science and TechnologyNanjing210044China Department of Computer Engineering Hankuk University of Foreign StudiesGyeonggi-do17035South Korea Jiangsu Hydraulic Research Institute Nanjing210044China Department of Information Systems and Cyber Security University of Texas at San AntonioSan AntonioTX78249-0631USA

As autonomous vehicles and the other supporting infrastructures(e.g.,smart cities and intelligent transportation systems)become more commonplace,the Internet of Vehicles(IoV)is getting increasingly *** have been attempts to utilize Digital Twins(DTs)to facilitate the design,evaluation,and deployment of IoV-based systems,for example by supporting high-fidelity modeling,real-time monitoring,and advanced predictive ***,the literature review undertaken in this paper suggests that integrating DTs into IoV-based system design and deployment remains an understudied *** addition,this paper explains how DTs can benefit IoV system designers and implementers,as well as describes several challenges and opportunities for future researchers.

关键词： Internet of vehicles Digital twin Simulation Traffic systems

TMAS: A transaction misbehavior analysis scheme for blockchain

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BLOCKCHAIN-RESEARCH AND APPLICATIONS 2024年第3期5卷 42-52页

作者： Huang, Shiyong Hao, Xiaohan Sun, Yani Wu, Chenhuang Li, Huimin Ren, Wei choo, ki.-kwang raymond China Univ Geosci Sch Comp Sci Wuhan 430074 Peoples R China Beihang Univ Yunnan Innovat Inst Yunnan Key Lab Blockchain Applicat Technol Kunming 650233 Peoples R China Putian Univ Fujian Key Lab Financial Informat Proc Putian 351100 Peoples R China Hong Kong Univ Sci & Technol Artificial Intelligence Thrust Informat Hub Guangzhou 511400 Peoples R China Univ Texas San Antonio Dept Informat Syst & Cyber Secur San Antonio TX 78249 USA

Blockchain-based cryptocurrencies, such as Bitcoins, are increasingly popular. However, the decentralized and anonymous nature of these currencies can also be (ab)used for nefarious activities such as money laundering, thus reinforcing the importance of designing tools to effectively detect malicious transaction misbehaviors. In this paper, we propose TMAS, a transaction misbehavior analysis scheme for blockchain-based cryptocurrencies. Specifically, the proposed system includes ten features in the transaction graph, two heuristic money laundering models, and an analysis method for account linkage, which identifies accounts that are distinct but controlled by an identical entity. To evaluate the effectiveness of our proposed indicators and models, we analyze 100 million transactions and compute transaction features, and are able to identify a number of suspicious accounts. Moreover, the proposed methods can be applied to other cryptocurrencies, such as token-based cryptocurrencies (e.g., Bitcoins) and account-based cryptocurrencies (e.g., Ethereum).

关键词： Blockchain Anti-money laundering Bitcoin Cyptocurrency

Fighting COVID-19 and Future Pandemics With the Internet of Things:Security and Privacy Perspectives

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IEEE/CAA Journal of Automatica Sinica 2021年第9期8卷 1477-1499页

作者： Mohamed Amine Ferrag Lei Shu ki.-kwang raymond choo Department of Computer Science Guelma UniversityB.P.40124000Algeria College of Artificial Intelligence Nanjing Agricultural UniversityNanjing 210095Chinaand also with the School of EngineeringUniversity of LincolnLincoln LN67TSUK Department of Information Systems and Cyber Security University of Texas at San AntonioSan AntonioTX 78249-0631 USA

The speed and pace of the transmission of severe acute respiratory syndrome coronavirus 2(SARS-CoV-2;also referred to as novel Coronavirus 2019 and COVID-19)have resulted in a global pandemic,with significant health,financial,political,and other *** have been various attempts to manage COVID-19 and other pandemics using technologies such as Internet of Things(IoT)and 5G/6G ***,we also need to ensure that IoT devices used to facilitate COVID-19 monitoring and treatment(e.g.,medical IoT devices)are secured,as the compromise of such devices can have significant consequences(e.g.,life-threatening risks to COVID-19 patients).Hence,in this paper we comprehensively survey existing IoT-related solutions,potential security and privacy risks and their *** example,we classify existing security and privacy solutions into five categories,namely:authentication and access control solutions,key management and cryptography solutions,blockchain-based solutions,intrusion detection systems,and privacy-preserving *** each category,we identify the associated *** also identify a number of recommendations to inform future research.

关键词： Blockchain COVID-19 healthcare privacy SARS-CoV-2 security

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A provable-secure and practical two-party distributed signing protocol for SM2 signature algorithm

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Frontiers of Computer Science 2020年第3期14卷 203-215页

作者： Yudi ZHANG Debiao HE Mingwu ZHANG ki.-kwang raymond choo Key Laboratory of Aerospace Information Security and Trusted Computing of Ministry of Education School of Cyber Science and EngineeringWuhan UniversityWuhan 430072China School of Computer Sciences Hubei University of TechnologyWuhan 430068China Department of Information Systems and Cyber Security and Department of Electrical and Computer Engineering University of Texas at San AntonioSan AntonioTX 78249USA

Mobile devices are widely used for data access,communications and ***,storing a private key for signature and other cryptographic usage on a single mobile device can be challenging,due to its computational ***,a number of(t,n)threshold secret sharing schemes designed to minimize private key from leakage have been proposed in the ***,existing schemes generally suffer from key reconstruction *** this paper,we propose an efficient and secure two-party distributed signing protocol for the SM2 signature *** latter has been mandated by the Chinese government for all electronic commerce *** proposed protocol separates the private key to storage on two devices and can generate a valid signature without the need to reconstruct the entire private *** prove that our protocol is secure under nonstandard ***,we implement our protocol using MIRACL Cryptographic SDK to demonstrate that the protocol can be deployed in practice to prevent key disclosure.

关键词： SM2 signature two-party signing wireless environment provable security threshold secret sharing

BSKCN and BSAML: blind signatures from the module lattice and the asymmetric module lattice

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Frontiers of Computer Science 2023年第6期17卷 175-177页

作者： Xiaofan LIU Wei REN ki.-kwang raymond choo School of Computer Science China University of GeosciencesWuhan 430074China Department of Information Systems and Cyber Security University of Texas at San AntonioSan AntonioTX 78249-0631USA

1 Introduction Blind signature allows a user to obtain the signature of a message from a signer without revealing the information of the message,as well as defending against *** recent years,there have been increased efforts to design post-quantum blind signature schemes,since it is known that classical cryptography assumptions(e.g.,integer factoring problem and discrete logarithm problem)are not secure against attacks carried out using quantum computers[1].One popular approach is to design blind signature schemes using *** first lattice-based blind signature scheme is proposed by Rückert[2],who also presented a general process of constructing lattice-based blind signature influenced by Lyubashevskys’s secure framework[3].Rückert’s approach achieves both blindness and one-more unforgeability in the random oracle *** then,many other blind signature schemes have extended Rückert signature *** example,based on Crystals-Dilithium[4](one of the NIST post-quantum signature standardization),Le et al.[5]created a blind signature from module lattices.

关键词： signature blind constructing

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Ethereum smart contract security research:survey and future research opportunities

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Frontiers of Computer Science 2021年第2期15卷 143-160页

作者： Zeli WANG Hai JIN Weiqi DAI ki.-kwang raymond choo Deqing ZOU National Engineering Research Center for Big Data Technology and System Services Computing Technology and System LabClusters and Grid Computing LabHubei Engineering Research Center on Big Data SecurityWuhan430074China School of Computer Science and Technology Huazhong University of Science and TechnologyWuhan430074China School of Cyber Science and Engineering Huazhong University of Science and TechnologyWuhan430074China Shenzhen Huazhong University of Science and Technology Research Institute Shenzhen518057China Department of Information Systems and Cyber Security University of Texas at San AntonioSan AntonioTX78249-0631USA

Blockchain has recently emerged as a research trend,with potential applications in a broad range of industries and *** particular successful Blockchain technology is smart contract,which is widely used in commercial settings(e.g.,high value financial transactions).This,however,has security implications due to the potential to financially benefit from a security incident(e.g.,identification and exploitation of a vulnerability in the smart contract or its implementation).Among,Ethereum is the most active and ***,in this paper,we systematically review existing research efforts on Ethereum smart contract security,published between 2015 and ***,we focus on how smart contracts can be maliciously exploited and targeted,such as security issues of contract program model,vulnerabilities in the program and safety consideration introduced by program execution *** also identify potential research opportunities and future research agenda.

关键词： smart contract security blockchain vulnerability unreliable data

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SecBCS: a secure and privacy-preserving blockchain-based crowdsourcing system

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Science China(Information Sciences) 2020年第3期63卷 20-33页

作者： Chao LIN Debiao HE Sherali ZEADALLY Neeraj KUMAR ki.-kwang raymond choo Key Laboratory of Aerospace Information Security and Trusted Computing Ministry of EducationSchool of Cyber Science and Engineering Wuhan University State Key Laboratory of Cryptology College of Communication and Information University of Kentucky Department of Computer Science and Engineering Thapar University Department of Information Systems and Cyber Security and Department of Electrical and Computer Engineering University of Texas at San Antonio

A robust and scalable crowd management infrastructure is crucial in addressing operational challenges when deploying high-density sensors and actuators in a smart city. While crowdsourcing is widely used in crowd management, conventional solutions, such as Upwork and Amazon Mechanical Turk, generally depend on a trusted third-party platform. There exist several potential security concerns(e.g., sensitive leakage, single point of failure and unfair judgment) in such a centralized paradigm. Hence, a recent trend in crowdsourcing is to leverage blockchain(a decentralized ledger technology) to address some of the existing limitations. A small number of blockchain-based crowdsourcing systems(BCSs) with incentive mechanisms have been proposed in the literature, but they are generally not designed with security in mind. Thus, we study the security and privacy requirements of a secure BCS and propose a concrete solution(i.e., SecBCS)with a prototype implementation based on JUICE.

关键词： crowdsourcing blockchain secure privacy-preserving smart contract

A blockchain future for internet of things security： a position paper

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Digital Communications and Networks 2018年第3期4卷 149-160页

作者： Mandrita Banerjee Junghee Lee ki.-kwang raymond choo Department of Electrical and Computer Engineering University of Texas at San Antonio San Antonio TX 78249 USA Department of Information Systems and Cyber Security University of Texas at San Antonio San Antonio TX 78249 USA

Internet of Things （IoT） devices are increasingly being fotmd in civilian and military contexts, ranging from smart cities and smart grids to Internet-of-Medical-Things, Internet-of-Vehicles, Internet-of-Military-Things, Internet-of- Battlefield-Things, etc. In this paper, we survey articles presenting IoT security solutions published in English since January 2016. We make a nmnber of observations, including the lack of publicly available loT datasets that can be used by the research and practitioner communities. Given the potentially sensitive nature of IoT datasets, there is a need to develop a standard for sharing IoT datasets among the research and practitioner communities and other relevant stakeholders. Thus, we posit the potential for blockehain technology in facilitating secure sharing of IoT datasets （e.g., using blockchain to ensure the integrity of shared datasets） and securing loT systems, before presenting two conceptual blockchain-based approaches. We then conclude this paper with nine potential research questions.

关键词： Blockchain Blockchain security Collaborative security Internet-of-military things dataset self-healing security Intrusion-prevention system Predictive security Predictive security