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QBIoT:A Quantum Blockchain Framework for IoT with an Improved Proof-of-Authority Consensus Algorithm and a Public-Key Quantum Signature

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Computers, Materials & Continua 2024年第7期80卷 1727-1751页

作者： Ang Liu Qing Zhang Shengwei Xu Huamin Feng Xiu-bo Chen Wen Liu Network and Information Management Division Beijing Electronic Science and Technology InstituteBeijing100070China Department of Cyberspace security Beijing Electronic Science and Technology InstituteBeijing100070China Information security Institute Beijing Electronic Science and Technology InstituteBeijing100070China General Office Beijing Electronic Science and Technology InstituteBeijing100070China Information security Center State Key Laboratory of Networking and Switching TechnologyBeijing University of Posts and TelecommunicationsBeijing100876China

The internet of Things(IoT)is a network system that connects physical devices through the internet,allowing them to ***,IoT has become an integral part of our lives,offering convenience and smart ***,the growing number of IoT devices has brought about a corresponding increase in cybersecurity threats,such as device vulnerabilities,data privacy concerns,and network *** blockchain technology with IoT has proven to be a promising approach to enhance IoT ***,the emergence of quantum computing poses a significant challenge to the security of traditional classical cryptography used in blockchain,potentially exposing it to quantum *** support the growth of the IoT industry,mitigate quantum threats,and safeguard IoT data,this study proposes a robust blockchain solution for IoT that incorporates both classical and post-quantum security ***,we present the Quantum-Enhanced Blockchain Architecture for IoT(QBIoT)to ensure secure data sharing and integrity ***,we propose an improved Proof of Authority consensus algorithm called“Proof of Authority with Random Election”(PoARE),implemented within QBIoT for leader selection and new block ***,we develop a publickey quantum signature protocol for transaction verification in the ***,a comprehensive security analysis of QBIoT demonstrates its resilience against cyber threats from both classical and quantum *** summary,this research introduces an innovative quantum-enhanced blockchain solution to address quantum security concernswithin the realmof *** proposedQBIoT framework contributes to the ongoing development of quantum blockchain technology and offers valuable insights for future research on IoT security.

关键词： IoT quantum blockchain public-key quantum signature quantum hash function

A Secure Energy internet Scheme for IoV Based on Post-Quantum Blockchain

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Computers, Materials & Continua 2023年第6期75卷 6323-6336页

作者： Jiansheng Zhang Yang Xin Yuyan Wang Xiaohui Lei Yixian Yang Information security Center State Key Laboratory of Networking and Switching TechnologyBeijing University of Posts and TelecommunicationsBeijing100876China Beijing Everyone Crowdsourcing Technology Company Ltd. Beijing 100018China

With the increasing use of distributed electric vehicles(EV),energy management in the internet of vehicles(IoV)has attracted more attention,especially demand response(DR)management to achieve efficient energy management in ***,it is a tendency to introduce distributed energy such as renewable energy into the existing supply *** optimizing the energy internet(EI)for IoV,in this paper,we introduce blockchain into energy internet and propose a secure EI scheme for IoV based on post-quantum blockchain,which provides the new information services and an incentive cooperation mechanism for the current energy IoV ***,based on the principles of constructing a short lattice basis and preimage sampling,a lattice signature scheme is proposed and used in blockchain for authentication,which provides anti-quantum ***,we design the EI based on the post-quantum blockchain ***,based on this model,we design a secure EI scheme for IoV based on post-quantum *** our analysis and experiment,this new scheme can increase the efficiency of energy utilization and enrich EI’s application in *** particular,we further illustrate and analyze its *** is shown that EI based on post-quantum blockchain is more secure and efficient in information communications and energy trading.

关键词： EI blockchain IoV information security anti-quantum

Fortifying Smart Grids: A Holistic Assessment Strategy against Cyber Attacks and Physical Threats for Intelligent Electronic Devices

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Computers, Materials & Continua 2024年第8期80卷 2579-2609页

作者： Yangrong Chen June Li Yu Xia Ruiwen Zhang Lingling Li Xiaoyu Li Lin Ge School of Computer Science Zhengzhou University of AeronauticsZhengzhou450046China Henan Xin’an Century Technology Co. Ltd.Henan Data Security Engineering Technology Research CenterZhengzhou450046China Key laboratory of Aerospace Information security and Trusted Computing Ministry of EducationSchool of Cyber Science and EngineeringWuhan UniversityWuhan430072China

Intelligent electronic devices(IEDs)are interconnected via communication networks and play pivotal roles in transmitting grid-related operational data and executing control *** the context of the heightened security challenges within smart grids,IEDs pose significant risks due to inherent hardware and software vulner-abilities,as well as the openness and vulnerability of communication *** grid security,distinct from traditional internet security,mainly relies on monitoring network security events at the platform layer,lacking an effective assessment mechanism for ***,we incorporate considerations for both cyber-attacks and physical faults,presenting security assessment indicators and methods specifically tailored for ***,we outline the security monitoring technology for IEDs,considering the necessary data sources for their security ***,we classify IEDs and establish a comprehensive security monitoring index system,incorporating factors such as running states,network traffic,and abnormal *** index system contains 18 indicators in 3 ***,we elucidate quantitative methods for various indicators and propose a hybrid security assessment method known as GRCW-hybrid,combining grey relational analysis(GRA),analytic hierarchy process(AHP),and entropy weight method(EWM).According to the proposed assessment method,the security risk level of IEDs can be graded into 6 levels,namely 0,1,2,3,4,and *** higher the level,the greater the security ***,we assess and simulate 15 scenarios in 3 categories,which are based on monitoring indicators and real-world situations encountered by *** results show that calculated security risk level based on the proposed assessment method are consistent with actual ***,the reasonableness and effectiveness of the proposed index system and assessment method are validated.

关键词： Smart grid intelligent electronic device security assessment abnormal behaviors network traffic running states

A Survey on Binary Code Vulnerability Mining Technology

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Journal of Information Hiding and Privacy Protection 2021年第4期3卷 165-179页

作者： Pengzhi Xu Zetian Mai Yuhao Lin Zhen Guo Victor S.Sheng School of Cyberspace security(School of Cryptology) Hainan UniversityHaikouChina Key laboratory of internet Information Retrieval of Hainan Province HaikouChina Department of Computer Science Texas Tech University TexasUSA

With the increase of software complexity,the security threats faced by the software are also increasing day by *** people pay more and more attention to the mining of software *** source code has rich semantics and strong comprehensibility,source code vulnerability mining has been widely used and has achieved significant ***,due to the protection of commercial interests and intellectual property rights,it is difficult to obtain source ***,the research on the vulnerability mining technology of binary code has strong practical *** on the investigation of related technologies,this article firstly introduces the current typical binary vulnerability analysis framework,and then briefly introduces the research background and significance of the intermediate language;with the rise of artificial intelligence,a large number of machine learning methods have been tried to solve the problem of binary vulnerability *** article divides the current related binary vulnerabilities mining technology into traditional mining technology and machine learning mining technology,respectively introduces its basic principles,research status and existing problems,and briefly summarizes ***,based on the existing research work,this article puts forward the prospect of the future research on the technology of binary program vulnerability mining.

关键词： Binary vulnerability mining stain analysis symbolic execution fuzzing testing machine learning

AR-CNN: an attention ranking network for learning urban perception

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Science China(Information Sciences) 2022年第1期65卷 164-174页

作者： Zhetao LI Ziwen CHEN Wei-Shi ZHENG Sangyoon OH Kien NGUYEN Key laboratory of Hunan Province for internet of Things and Information security Xiangtan University Key laboratory of Intelligent Computing & Information Processing of Ministry of Education Xiangtan University School of Data and Computer Science Sun Yat-sen University Department of Computer and Information Engineering Ajou University Graduate School of Engineering Chiba University

An increasing number of deep learning methods is being applied to quantify the perception of urban environments, study the relationship between urban appearance and resident safety, and improve urban appearance. Most advanced methods extract image feature representations from street-level images through conventional visual computation algorithms or deep convolutional neural networks and then directly predict the results using features. Unfortunately, these methods take color and texture information together during processing. Color and texture are prime image features, and they affect human perception and judgment differently. We argue that color and texture should be operated differently; therefore, we formulate an end-to-end learning methodology to process input images according to color and texture information before inputting it into the neural network. The processed images and the original image constitute three input streams for the triad attention ranking convolutional neural network(AR-CNN) model proposed in this *** accordance with the aspects of color and texture, an improved attention mechanism in the convolution layer is proposed. Our objective is to obtain the scores of humans on urban appearance in accordance with the prediction results computed from pairwise comparisons generated by the AR-CNN model.

关键词： ranking network urban perception attribute learning attention network colour and texture

同方期刊数据库

A Unified Measurement Solution of Software Trustworthiness Based on Social-to-Software Framework

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Journal of Computer Science & Technology 2018年第3期33卷 603-620页

作者： Xi Yang Gul Jabeen Ping Luo Xiao-Ling Zhu Mei-Hua Liu Key laboratory for Information System security School of Software Tsinghua University Beijing 100084 China School of Computer and Information Hefei University of Technology Hefei 230009 China Department of Foreign Languages and Literatures Tsinghua University Beijing 100084 China

As trust becomes increasingly important in software domain, software trustworthiness--as a complex high- composite concept, has developed into a big challenge people have to face, especially in the current open, dynamic and ever-changing internet environment. Furthermore, how to recognize and define trust problem from its nature and how to measure software trustworthiness correctly and effectively play a key role in improving users＇ trust in choosing software. Based on trust theory in the field of humanities and sociology, this paper proposes a measurable S2S （Social-to-Software） software trustworthiness framework, introduces a generalized indicator loss to unify three parts of trustworthiness result, and presents a whole metric solution for software trustworthiness, including the advanced J-M model based on power function and time-loss rate for ability trustworthiness measurement, the fuzzy comprehensive evaluation advanced-model considering effect of multiple short boards for basic standard trustworthiness, and the identity trustworthiness measurement method based on the code homology detecting tools. Finally, it provides a case study to verify that the solution is applicable and effective.

关键词： software trustworthiness measurement solution loss social-to-software(S2S)framework generalized indicator

Constant-round auction with insulated bidders

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Science China(Information Sciences) 2022年第4期65卷 264-266页

作者： Jie MA Bin QI Kewei LV State Key laboratory of Information security Institute of Information EngineeringChinese Academy of Sciences Data Assurance and Communication security Research Center Chinese Academy of Sciences School of Cyber security University of Chinese Academy of Sciences

Dear editor,In recent years, online auction has gained widespread popularity as a primary characteristic of electronic commerce among masses. It has also become a primary topic of research interest. Cryptographic primitives such as secure multiparty computation(MPC) [1], zero-knowledge proof(ZKP) [2] and commitment scheme [3] are being effectively utilized for the proposal of various schemes. Therefore,

关键词： Auction Commitment Integer Comparison Protocol Constant-round Blockchain

同方期刊数据库

Double-Blockchain Assisted Secure and Anonymous Data Aggregation for Fog-Enabled Smart Grid

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Engineering 2022年第1期8卷 159-169页

作者： Siguang Chen Li Yang Chuanxin Zhao Vijayakumar Varadarajan Kun Wang Jiangsu Key Lab of Broadband Wireless Communication and internet of Things Nanjing University of Posts and TelecommunicationsNanjing 210003China Jiangsu Engineering Research Center of Communication and Network Technology Nanjing University of Posts and TelecommunicationsNanjing 210003China Anhui Provincial Key laboratory of Network and Information security Anhui Normal UniversityWuhu 241000China School of Computer Science and Engineering Vellore Institute of TechnologyChennai 600127India Department of Electrical and Computer Engineering University of CaliforniaLos AngelesCA 90095USA

As a future energy system,the smart grid is designed to improve the efficiency of traditional power systems while providing more stable and reliable ***,this efficient and reliable service relies on collecting and analyzing users’electricity consumption data frequently,which induces various security and privacy *** address these challenges,we propose a double-blockchain assisted secure and anonymous data aggregation scheme for fog-enabled smart grid named ***,we design a three-tier architecture-based data aggregation framework by integrating fog computing and the blockchain,which provides strong support for achieving efficient and secure data collection in smart ***,we develop a secure and anonymous data aggregation mechanism with low computational overhead by jointly leveraging the Paillier encryption,batch aggregation signature and anonymous *** particular,the system achieves fine-grained data aggregation and provides effective support for power dispatching and price adjustment by the designed double-blockchain and two-level data ***,the superiority of the proposed scheme is illustrated by a series of security and computation cost analyses.

关键词： Blockchain Fog computing Homomorphic encryption Smart grid Anonymity

维普期刊数据库

Behind HumanBoost: Analysis of Users’ Trust Decision Patterns for Identifying Fraudulent Websites

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Journal of Intelligent Learning Systems and Applications 2012年第4期4卷 319-329页

作者： Daisuke Miyamoto Hiroaki Hazeyama Youki Kadobayashi Takeshi Takahashi Information Technology Center The University of Tokyo Tokyo Japan internet Engineering laboratory Graduate School of Information Science Nara Advanced Institute of Science and Technology Nara Japan security Architecture laboratory National Institute of Information and Communications Technology Tokyo Japan.

This paper analyzes users’ trust decision patterns for detecting phishing sites. Our previous work proposed HumanBoost [1] which improves the accuracy of detecting phishing sites by using users’ Past Trust Decisions (PTDs). Web users are generally required to make trust decisions whenever their personal information is requested by a website. Human-Boostassumed that a database of Web user’s PTD would be transformed into a binary vector, representing phishing or not-phishing, and the binary vector can be used for detecting phishing sites, similar to the existing heuristics. Here, this paper explores the types of the users whose PTDs are useful by running a subject experiment, where 309 participants- browsed 40 websites, judged whether the site appeared to be a phishing site, and described the criterion while assessing the credibility of the site. Based on the result of the experiment, this paper classifies the participants into eight groups by clustering approach and evaluates the detection accuracy for each group. It then clarifies the types of the users who can make suitable trust decisions for HumanBoost.

关键词： Detection of Phishing Sites Trust Decision Credibility of Websites Machine Learning Cluster Analysis