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IEEE Conference on Dependable and Secure Computing

作者： Yuan Li Haiyan Wang Shulan Wang Yong Ding College of Computer Science and Software Engineering Shenzhen University Shenzhen P. R. China Peng Cheng Laboratory Cyberspace Security Research Center Shenzhen P. R. China College of Big Data and Internet Shenzhen Technology University Shenzhen P. R. China Guangxi Key Laboratory of Cryptography Information Security Guilin P. R. China

ISBN: (数字)9781728175348

ISBN: (纸本)9781728175355

With the widespread application of cloud computing technology, data privacy security problem becomes more serious. The recent studies related to searchable encryption (SE) area have shown that the data owners can share their private data with efficient search function and high-strength security. However, the search method has yet to be perfected, compared with the plaintext search mechanism. In this paper, based LSSS matrix, we give a new searchable algorithm, which is suitable for many search method, such as exact search, Boolean search and range search. In order to improve the search efficiency, the 0, 1-coding theory is introduced in the process of ciphertext search. Meanwhile it is shown that multi-search mechanism can improve the efficiency of data sharing. Finally, the performance analysis is presented, which prove our scheme is secure, efficient, and human-friendly.

关键词： Cloud computing data privacy Search methods Conferences Encryption Performance analysis security

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AFCoin: A framework for digital fiat currency of central banks based on account model 14th

AFCoin: A framework for digital fiat currency of central ban...

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14th International Conference on Information security and Cryptology, Inscrypt 2018

作者： Tian, Haibo Chen, Xiaofeng Ding, Yong Zhu, Xiaoyan Zhang, Fangguo Guangdong Key Laboratory of Information Security School of Data and Computer Science Sun Yat-Sen University GuangzhouGuangdong510275 China Guangxi Key Laboratory of Cryptography and Information Security Guilin China Xidian University Xi’anShanxi710071 China

ISBN: (纸本)9783030142339

Currently, the technique choices of issuing digital fiat currencies include RSCoin, Corda and Quorum etc. RSCoin is specially designed for central banks based on Bitcoin. Corda and Quorum are permissioned distributed ledger techniques based on Bitcoin and Ethereum, respectively. There lacks a framework specially for central banks based on Ethereum. We here introduce AFCoin: a framework based on the account model and smart contract of Ethereum. AFCoin shows a possible way to issue and manage fiat currencies by central banks. It can be deployed in an evolutionary way and enjoys good efficiency, regulation and privacy properties. © 2019, Springer Nature Switzerland AG.

关键词： Efficiency

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Dynamic multi-key FHE in asymmetric key setting from LWE

TechRxiv

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TechRxiv 2021年

作者： Dong, Sen Chen, Yuling Li, Tao Wang, Yilei Zhou, Huiyu State Key Laboratory of Public Big Data College of Computer Science and Technology Guizhou University Guiyang550025 China State Key Laboratory of Public Big Data College of Computer Science and Technology Guizhou University Guiyang550025 China Guangxi Key Laboratory of Cryptography and Information Security Guilin University Of Electronic Technology Guilin541004 China school of Qufu Normal University Qufu273165 China school of Informatics University of Leicester LeicesterLE1 7RH United Kingdom

Multi-key Fully homomorphic encryption (MFHE) schemes allow computation on the encrypted data under different keys. However, traditional multi-key FHE schemes based on Learning with errors (LWE) have the undesirable property that is the number of keys has to be fixed in advance. A dynamic multi-key FHE scheme is the most versatile variant which the information about the participants is not required before key generation. To support further homomorphic computation on extended ciphertexts and ciphertexts encrypted under additional keys, Peikert and Shiehian (TCC’16) proposed a leveled dynamic multi-key FHE scheme. Nevertheless, it introduces the circular-security assumption for the LWE parameters to ensure its security, which provides weaker security to a certain extent. The problem of how to construct a LWE-based dynamic multi-key FHE scheme is still open. To address the above problem, in this work, we present a dynamic multi-key FHE scheme based on the LWE assumption in public key setting. The ciphertext can be extended and performed homomorphic evaluation with the ciphertexts encrypted under additional keys. Compared with current constructions, our proposed method requires fewer "local" memory and the process of ciphertext extension is distributed. Our proposed method provides a new way to extend the ciphertext such that the ciphertext homomorphism computation is more efficient. Our scheme is proven to be secure under standard LWE assumptions without using the circular-security assumption. © 2021, CC BY-NC-SA.

关键词： security of data

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DE-RSTC: A rational secure two-party computation protocol based on direction entropy

arXiv

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arXiv 2021年

作者： Chen, Yuling Ma, Juan Wang, Xianmin Zhang, Xinyu Zhou, Huiyu State Key Laboratory of Public Big Data College of Computer Science and Technology Guizhou University Guiyang550025 China Guangxi Key Laboratory of Cryptography and Information Security Guilin University Of Electronic Technology Guilin541000 China Institute of Artificial Intelligence and Blockchain Guangzhou University Guangzhou510000 China University of Leicester LeicesterLe1 7RH United Kingdom

Rational secure multi-party computation (RSMC) means two or more rational parties to complete a function on private inputs. In the process, the rational parties choose strategies to maximize utility, which will cause players to maliciously execute the protocol and undermine the fairness and correctness of the protocol. To solve this problem, we leverage game theory to propose the direction entropy-based solution. First, we utilize the direction vector of the direction entropy to examine the player's strategy uncertainty and quantify its strategy from different dimensions. Specifically, when parties choose a cooperation strategy, the direction vector is positive, and the information transmitted is positive, conversely, it is negative information. Then, we provide mutual information to construct new utility functions for the players. What's more, we measure the mutual information of players to appraise their strategies. Finally, we prove in detail the protocol we gave, and the result show that the fairness problem in rational secure two-party computation. We also prove that the proposed protocol reaches the Nash equilibrium. Furthermore, we conduct experiments using mutual information to construct utility, and the results show that the utility obtained when the player is honest will be higher. Copyright © 2021, The Authors. All rights reserved.

关键词： Entropy

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Erdős–Gyárfás conjecture for some families of Cayley graphs

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Aequationes Mathematicae 2018年第1期92卷 1-6页

作者： Ghaffari, Mohammad Hossein Mostaghim, Zohreh Cryptography and Data Security Laboratory School of Mathematics Iran University of Science and Technology Tehran Iran

The Paul Erdős and András Gyárfás conjecture states that every graph of minimum degree at least 3 contains a simple cycle whose length is a power of two. In this paper, we prove that the conjecture holds for Cayley graphs on generalized quaternion groups, dihedral groups, semidihedral groups and groups of order p³. © 2017, Springer International Publishing AG.

关键词： Cayley graph Cycles of graph Dihedral groups Erdős–Gyárfás conjecture Generalized quaternion groups Semidihedral groups

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Rational Delegation Learning Outsourcing Scheme Based on Game Theory

Rational Delegation Learning Outsourcing Scheme Based on Gam...

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International Conference on Networking and Network Applications (NaNA)

作者： Kang Xiang Youliang Tian Sheng Gao Changgen Peng Weijie Tan Institute of Cryptography and Data Security Guizhou University Guiyang P. R. China School of Information Central University of Finance and Economics Beijing P. R. China State Key Laboratory of Public Big Data College of Computer Science and Technology Guizhou University Guiyang P. R. China

ISBN: (数字)9781728189543

ISBN: (纸本)9781728189550

At present, many enterprises or individuals with a lot of data are limited by their own computing power, so can't mine useful information from the data. To address this problem, this paper proposes a rational delegation machine learning pattern. In the proposed pattern, we firstly construct a reliable game model, and then derive a formal model of rational delegation machine learning according to delegation computation thought. Finally, we design an outsourcing scheme for decision tree model. We analyze the security and performance of the proposed scheme, the analysis results show that the proposed scheme can not disclose any useful information. Last but not least, the experimental result demonstrates that the proposed scheme can obtain a decision tree model with high accuracy.

关键词： Training Computational modeling Machine learning data models Outsourcing Decision trees security

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Cooperative Game Model of Delegation Computing: Verifier Separated from Calculators

Cooperative Game Model of Delegation Computing: Verifier Sep...

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IEEE Conference on Computer Communications Workshops, INFOCOM Wksps

作者： Duo Zhang Youliang Tian Linjie Wang Sheng Gao Jianfeng Ma State Key Laboratory of Public Big Data College of Computer Science and Technology College of Mathematics and Statistics Guizhou University Guiyang China State Key Laboratory of Public Big Data College of Computer Science and Technology Institute of Cryptography and Date Security Guizhou University Guiyang China State Key Laboratory of Public Big Data College of Computer Science and Technology Guizhou University Guiyang China School of Information Central University of Finance and Economics Beijing China School of Cyber Engineering College of Computer Science and Technology Xi'dian University Xi'an China

ISBN: (数字)9781728186955

ISBN: (纸本)9781728186962

In cloud computing, the delegation computation service is required because end users usually are resource-constrained, and at the same time the correctness of computing results needs to be verified. However, all the existing and available technologies have a high cost to verify which is the main problem faced by the delegation computing under the cloud platform. In order to address this issue, based on the game theory and a smart contract, we construct three protocols. The client and the calculator sign the Prisoner's Protocol to incentivize correct computation by asking the calculator to pay a deposit upfront; The client and the verifier sign the Long-acting Mechanism Protocol to ensure the validity of the verification results; The calculator and the verifier sign the Collusion Protocol to make collusion the most profitable strategy for all colluding parties. Through the combination of these protocols, the work is realized by separation the computing task and the verification task, and the heavy verification task is avoided. Finally, the performance analysis of the results shows that the combination of all the protocols not only solves the problem of verification complexity in the traditional delegation computing, but also guarantees the benefit of the honest player.

关键词： Calculators Contracts Protocols Task analysis Computational modeling Cloud computing security

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Deep Learning for Password Guessing and Password Strength Evaluation, A Survey

Deep Learning for Password Guessing and Password Strength Ev...

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IEEE International Conference on Trust, security and Privacy in Computing and Communications (TrustCom)

作者： Tao Zhang Zelei Cheng Yi Qin Qiang Li Lin Shi Guangxi Key Laboratory of Cryptography and Information Security Guilin University of Electronic Technology Guilin China Guangxi Key Laboratory of Trusted Software Guilin University of Electronic Technology Guilin China Guangxi Key Laboratory of Hybrid Computation and IC Design Analysis Guangxi University for Nationalities Nanning China Department of Computer and Information Technology Purdue University West Lafayette USA PLA Information Engineering University Zhengzhou China Henan Key Laboratory of Network Cryptography Technology Zhengzhou China Cloud Computing and Big Data Research Institute China Academy of Information and Communications Technology Beijing China

ISBN: (数字)9781665403924

ISBN: (纸本)9781665403931

Text passwords are the most widely used authentication methods and will also be used in the future. Text passwords can be regarded as meaningful strings, and deep learning methods have an advantage of text processing. LSTM, RNN, GAN and other deep learning models have been using in password guessing and password strength measurements. In the paper, we make a survey on state-of-the-art deep learning methods for password guessing and password strength evaluation, including password pattern extraction, candidate password generation and password strength measurement. Compared with traditional methods, neural networks based methods can achieve better results and performance.

关键词： Deep learning Training Transfer learning security Gallium nitride Password Text processing

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Correction to: A biometric cryptosystem scheme based on random projection and neural network

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Soft Computing 2021年第11期25卷 7671-7671页

作者： Peng, Jialiang Yang, Bian Gupta, B. B. El-Latif, Ahmed A. Abd School of Data Science and Technology Heilongjiang University Harbin China Guangxi Key Laboratory of Cryptography and Information Security Guilin China Department of Information Security and Communication Technology Norwegian University of Science and Technology Gjøvik Norway Computer Engineering Department NIT Kurukshetra Kurukshetra India Department of Computer Science and Information Engineering Asia University Taichung Taiwan Department of Mathematics and Computer Science Faculty of Science Menoufia University Shebin El-Koom Egypt

A correction to this paper has been published: https://***/10.1007/s00500-021-05804-3

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Blockchain-Based Incentive Announcement System for Internet of Vehicles

Blockchain-Based Incentive Announcement System for Internet ...

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IEEE International Conference on Big data and Cloud Computing (BdCloud)

作者： Yang Yang Jialiang Chen Xianghan Zheng Ximeng Liu Wenzhong Guo Hairong Lv College of Mathematics and Computer Science Fuzhou University Fuzhou China Guangxi Key Laboratory of Cryptography and Information Security Guangnxi China Guangdong Provincial Key Laboratory of Data Security and Privacy Protection Guangzhou China Fujian Provincial Key Laboratory of Information Processing and Intelligent Control (Minjiang University) Fuzhou China Ministry of Education Key Laboratory of Bioinformatics Bioinformatics Division and Center for Synthetic and Systems Biology Beijing National Research Center for Information Science and TechnologyDepartment of Automation Tsinghua University Beijing China

ISBN: (数字)9781728143286

ISBN: (纸本)9781728143293

With the rapid development of computation and communication technologies, the traditional vehicle ad hoc networks (VANETs) are changing to Internet of vehicle (IoV). Vehicular announcement networks in IoV have been widely used in the communication of vehicles. Generally, we need to solve two problems while establishing a vehicular announcement system. First, we need to protect user's privacy when broadcasting the message. Second, participants usually lack the enthusiasm to reply to the announcement. To solve these two problems, we propose a novel blockchain-based incentive announcement system that not only allows participants to anonymously announce their message on the blockchain in a non-trusted environment, but also motivates witnesses to respond to the request of the traffic information with incentive mechanism. Meanwhile, traffic messages and signatures in our system are tamper-resistant, which are recorded on the blockchain. According to the security and performance analysis, it shows that our system is privacy-preserving and efficient in computation cost.

关键词： Blockchain Privacy Smart contracts Authentication Internet Remuneration Hash functions

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