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Securing Cloud Storage by Remote data Integrity Check with Secured Key Generation

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Chinese Journal of Electronics 2021年第3期30卷 489-499页

作者： Abdul Rehman LIU Jian Muhammad Qasim Yasin LI Keqiu College of Intelligence and Computing Tianjin University Tianjin Key Laboratory of Advance Networking National University of Modern Languages Faisalabad Campus

In recent decades, a number of protocols for Remote data integrity checking(RDIC) have been proposed. Identity(ID) based RDIC protocols are constructed to guarantee cloud data integrity and data privacy. The known protocols for RDIC always assume that the Private key generator(PKG) is a trusted one, but in real-world applications by corrupt PKG, malicious Cloud server(CS) can easily cheat the third party auditor that the data owner’s outsourced data are kept safe through the data has been deleted or altered. In this paper, we explore the novel model of RDIC with untrusted PKG and malicious CS, by employing the partial key method and Authentication, authorization, accounting(AAA) service.We construct a new ID-based RDIC, which provides the ID revocation and key updation. The experimental evaluations show that our scheme is more efficient than known ones.

关键词： Cryptography Protocols File organisation data security Internet software AAA service Cloud storage data integrity Partial private key Revocation Untrusted PKG

Secure Scalar Product Protocols

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Chinese Journal of Electronics 2021年第6期30卷 1059-1068页

作者： LI Shundong ZHANG Mengyu XU Wenting School of Computer Science Shaanxi Normal University

Secure scalar product computation is a special secure multi-party computation problem. A secure scalar product protocol can be used by two parties to jointly compute the scalar product of their private vectors without revealing any information about the private vector of either party. Secure scalar product protocol is of great significance in privacy-preserving scientific computing, privacy preserving data mining, privacypreserving cooperative statistical analysis and privacypreserving geometry computation, etc. Many privacy preserving computing problems can be transformed to secure scalar product computation. At present, existing scalar product protocols cannot be used to privately compute scalar product of private vectors with both positive and negative components. Based on homomorphic encryption scheme, we design three protocols to compute scalar product of three different kinds of private vectors.The components of the first kind vector are arbitrary integers; those of the second kind are positive rational numbers and those of the third kind are arbitrary rational numbers. We use simulation paradigm proving that the protocols are secure in the semi-honest model. Theoretical analysis and experimental results show that the protocols designed in this paper are efficient.

关键词： Cryptography Protocols data security Secure multi-party computation Secure scalar product protocol Homomorphic encryption

Extraction security of Sequential Aggregate Signatures

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Chinese Journal of Electronics 2021年第5期30卷 885-894页

作者： ZHAI Jiaqi LIU Jian CHEN Lusheng School of Mathematical Sciences Nankai University School of Cybersecurity College of Intelligence and ComputingTianjin University

Aggregate signature schemes enable anyone to compress many signatures into one.Besides the unforgeability of aggregate signature,another property called aggregate extraction sometimes is useful.In sequential aggregate signature schemes,the aggregate signature is computed incrementally by the signers.We introduce extraction security in the sequential context which can be seen as an analogy of aggregate extraction introduced by Boneh et al.in CRYPTO 2003.In addition to the practical meaning,it also has benefits in the construction of hierarchical identity-based signatures as we will point out.We study several well known aggregate signature schemes and prove some of them satisfy extraction security.

关键词： Cryptography data security Digital signatures Sequential aggregate signatures Hierarchical identity-based signatures Aggregate extraction

An Asynchronous Quasi-Cloud/Edge/Client Collaborative Federated Learning Mechanism for Fault Diagnosis

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Chinese Journal of Electronics 2021年第5期30卷 969-977页

作者： MA Xue WEN Chenglin School of Automation Hangzhou Dianzi University School of Automation Guangdong University of Petrochemical Technology

Although the federated learning method has the ability to balance data and protect data privacy by means of model aggregation, while the existing methods are difficult to achieve the effectiveness of centralized learning under data sharing. The existing federated structure only has a certain degree of confidentiality for data privacy, that is to say, each client can reconstruct a part of the information of other clients based on the model parameters shared between the server and the clients under certain conditions. In order to make the federated learning mechanism more confidential,we breaks the existing mechanism that the parameters between the federated model and the client model are completely shared, and establishes a new asynchronous quasi-cloud/edge/client collaborative federated learning mechanism. We construct a hierarchical multi-level confidential communication network, where the network parameters are shared in a way of quasi-cloud/edge/client coordination without data communication. The cloud and the edges respectively use the sequential Kalman filter algorithm to perform an asynchronous fusion of the network parameters uploaded in their respective fusion centers for the next round of updates; The effectiveness of the proposed algorithm is verified on the data of a type of rotating machinery.

关键词： Filtering methods in signal processing Digital signal processing data security Production engineering computing Industrial applications of IT Maintenance and reliability Internet software Machine learning (artificial intelligence) Federated learning Quasi-cloud/edge/client collaboration Multi-level confidentiality Asynchronous fusion Fault diagnosis

Securing Cloud data Using a Pirate Scheme

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Chinese Journal of Electronics 2017年第6期26卷 1289-1296页

作者： CHENG Hongbing QIAN Manyun YU Shui College of Computer Science Zhejiang University of Technology State Key Laboratory for Novel Software Technology Nanjing University School of Information Technology Deakin University

Inspired by the approach of smart pirates dealing with their treasures, the paper proposed a scheme to protect the data security and privacy in cloud computing. In the proposed scheme, cloud data will be divided into some sequenced or logical blocks. These data blocks will be distributed among cloud storage service providers.Instead of protecting the data themselves, the proposed scheme protects the mapping of the data elements on each provider. Comprehensive analysis and simulation are designed to verify the proposed scheme, the results show that it is secure for cloud data, and the real implementation on Amazon S3 also indicates that the proposed scheme is feasible and efficient for the cloud data storage.

关键词： Cloud computing data security Pirate Storage

Secure Cloud Architecture for 5G Core Network

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Chinese Journal of Electronics 2021年第3期30卷 516-522页

作者： LI Lingshu WU Jiangxing HU Hongchao LIU Wenyan GUO Zehua PLA Strategic Support Force Information Engineering University Beijing Institute of Technology

Service-based architecture(SBA) is a profound advancement in the novel 5 G Core network(5 GC). Existing studies show that SBA can benefit from cloud computing to achieve extensibility, modularity,reusability, and openness. It also brings security problems(e.g., hypervisor hijacking, and malware injection). To provide secure 5 G services, we propose a service-based cloud architecture called Mimicloud for 5 GC based on dynamic and heterogeneous techniques. Mimicloud provides flexible reconfiguration mechanisms to protect containers and eliminate all attack knowledge obtained from adversaries. We use multiple containers to execute crucial services and ensure security with crosscheck.Mimicloud employs heterogeneous components to prevent multiple containers from being breached through the same vulnerabilities. Experimental results show that Mimicloud can effectively strengthen the security of the 5 GC. The performance overhead is analyzed in order to demonstrate its scalability.

关键词： Mobile radio systems Software engineering techniques data security Internet software Communications computing 5G Service-based architecture Cloud security Cyber mimic defense

Targeted Adversarial Examples Generating Method Based on cVAE in Black Box Settings

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Chinese Journal of Electronics 2021年第5期30卷 866-875页

作者： YU Tingyue WANG Shen ZHANG Chunrui WANG Zhenbang LI Yetian YU Xiangzhan School of Cyberspace Science Harbin Institute of Technology Institute of Computer Application China Academy of Engineering Physics State Grid Heilongjiang Power Co. Ltd.

In recent years, adversarial examples has become one of the most important security threats in deep learning applications. For testing the security of deep learning models in adversarial environment,many researches focus on generating adversarial examples quickly and efficiently. In order to solve the problems of existing generative adversarial networks based methods which can not effectively generate the targeted adversarial examples in black box settings, and to improve the temporal performance of gradient-based generating methods,an adversarial examples generating method based on conditional Variational autoencoder(cVAE) is proposed in this paper, where a cVAE is designed elaborately to generate adversarial examples without most of the detailed information about the attacked deep learning models, of which the output can be controlled arbitrarily by these crafted inputs, used to test the robustness of deep learning models against adversarial examples. The experimental results show that the proposed method can achieve a comparable attack success rate and a better temporal performance than the existing gradient-based generating methods in black box environment.

关键词： data security Neural nets Deep learning Image recognition Adversarial examples Conditional variational autoencoder

A Pairing-Free Certificateless Signcryption Scheme for Vehicular Ad Hoc Networks

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Chinese Journal of Electronics 2021年第5期30卷 947-955页

作者： DU Hongzhen WEN Qiaoyan ZHANG Shanshan GAO Mingchu School of Mathematics and Information Science Baoji University of Arts and Sciences State Key Laboratory of Networking and Switching Technology Beijing University of Posts and Telecommunications School of Telecommunications Engineering Xidian University Department of Mathematics Louisiana College

Vehicular ad hoc networks(VANETs) create an vital platform for communication between vehicles,which can realize accident warning, auxiliary driving, road traffic information query, passenger communication and other applications. While providing convenient services for people, VANETs also bring some security risks. security and privacy are the primary issues in the research of VANETs. Signcryption is an ideal way to transfer messages in a logical step in a secure and authenticated way.We design a Certificateless signcryption(CLSC) scheme to provide confidentiality, authentication, integrity, nonrepudiation and user privacy preservation for the information transmitted between vehicle communication units.We demonstrate the confidentiality and unforgeability of the proposed scheme in the random oracle model.Moreover, compared with the existing CLSC schemes, ours realizes the perfect combination of efficiency, security and privacy, and it is particularly well adapted to the secure communication of vehicle networks.

关键词： Cryptography Mobile radio systems data security Certificateless public key cryptography Signcryption Vehicular ad hoc networks Elliptic curve

Importance of the reputation of data manager in the acceptance of connected vehicles

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Communications in Transportation Research 2022年第1期2卷 24-32页

作者： Sailesh Acharya Michelle Mekker Department of Civil and Environmental Engineering Utah State UniversityLoganUT84322-4110USA

With the known evidence that potential connected vehicle(CV)users are worried about sharing data because of the associated data privacy and security issues,this study investigates the importance of the reputation of the data manager(who collects,stores,and owns the data)of CV technology(CVT).Based on a questionnaire survey of 2400 US adults,this study asserts that the data manager's reputation has a significant impact on the public perception of data privacy and security issues in CVT along with overall CV acceptance.The results show that data privacy issues have a more negative impact on CV acceptance than data security issues.In addition,the reputation of a data manager has a bigger role in the eyes of the public in shaping their perception of data privacy in comparison to data security.Based on the results,the public considers data privacy as the responsibility of the data manager to protect their data from unauthorized/illegal third-party access,whereas data security is the technological strength of CVT to protect the data from hacking.Finally,it is recommended that CV stakeholders take actions to improve potential CV users'confidence in the privacy of data shared by disclosing the data management process,data privacy protection efforts,building public trust in the data manager,and introducing/enforcing laws regarding data privacy protection.

关键词： Connected vehicle data privacy data security Reputation data manager Acceptance