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Privacy-Preserving Electric Vehicle Charging Recommendation by Incorporating Full Homomorphic Encryption and secure multi-party computing

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WORLD ELECTRIC VEHICLE JOURNAL 2024年第10期15卷 446页

作者： Liu, Yiqi Ju, Jiaxin Li, Zhiyi Zhejiang Univ Sch Elect Engn Hangzhou 310027 Peoples R China

Electric vehicle (EV) charging recommendation can significantly improve global planning performance, corresponding to an increasing risk of privacy leakage. Based on this, this paper investigates the privacy data preservation strategy during the interaction between EVs and charging facilities. It proposes a privacy preservation strategy that aims to ensure EV information security. In a cloud computing environment, users do not want other users and cloud providers to have access to their personal information, which is precisely the problem that secure multi-party computing (SMPC) can solve. At present, full homomorphic encryption (FHE) can solve the problem of user data privacy preservation in cloud computing and big data environments and can realize the whole encryption process. Therefore, a more reasonable charging station selection scheme is provided under the computation of privacy preservation strategies incorporating the FHE-SMPC method. The effectiveness and implementation feasibility of the designed privacy preservation strategy in practical applications is verified through testing and comparative analysis. The results show that the developed strategy can significantly reduce the risk of privacy leakage with limited communication resources and computation time consumption. The results provide new perspectives and methodologies for interactive privacy preservation between EVs and charging stations, with application potential.

关键词： electric vehicle full homomorphic encryption secure multi-party computing privacy preservation strategies charging data interaction

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A trusted IoT data sharing method based on secure multi-party computation

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JOURNAL OF CLOUD computing-ADVANCES SYSTEMS AND APPLICATIONS 2024年第1期13卷 1-14页

作者： Ma, Li Duan, Binbin Zhang, Bo Li, Yang Fu, Yingxun Ma, Dongchao North China Univ Technol Sch Informat Beijing 100144 Peoples R China

Edge computing nodes close to the perception layer of IoT systems are susceptible to data leaks and unauthorized access. To address these security concerns, this paper proposes a trusted IoT data sharing method based on secure multi-party computation (SMC). By running a reliable third-party blockchain service at edge computing nodes, the data computation relationships between IoT devices in the perception layer are registered in blockchain smart contracts. This constructs a publicly verifiable IoT data sharing method combining on-chain audit verification and off-chain SMC. Furthermore, a Bloom filter is maintained at the on-chain smart contract layer to track the trust status of IoT devices in the perception layer, filtering out non-trustworthy device requests and enabling secure data sharing among trusted devices. Comparative analysis and performance tests demonstrate the proposed method's high computational efficiency for IoT device nodes.

关键词： IOT Blockchain Edge computing secure multi-party computing Bloom filter

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Dynamic secure multi Broad Network for Privacy Preserving of Streaming Data

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IEEE TRANSACTIONS ON EMERGING TOPICS IN COMPUTATIONAL INTELLIGENCE 2024年第4期8卷 3152-3165页

作者： Cao, Xiao-Kai Chen, Man-Sheng Wang, Chang-Dong Lai, Jian-Huang Huang, Qiong Chen, C. L. Philip Sun Yat sen Univ Sch Comp Sci & Engn Guangzhou 510275 Peoples R China Minist Educ Key Lab Machine Intelligence & Adv Comp Guangzhou 510275 Peoples R China South China Agr Univ Coll Math & Informat Guangzhou 510275 Peoples R China South China Univ Technol Sch Comp Sci & Engn Guangzhou 510275 Peoples R China

Distributed computing as a widely concerned research direction needs to use the data training model of users, making the security of users' private data become a challenging problem to be solved. At present, federated learning is the mainstream research method to solve this problem. However, federated learning is not good at distributed training on streaming data. In real scenarios, the client's data is usually continuously updated streaming data. In this paper, we propose Dynamic secure multi Broad Network (DSMBN), which is a novel privacy computing framework completely different from federated learning. In DSMBN, we design three interactive communication protocols to handle streaming data in different scenarios. The function of the protocol is to use random mapping to encrypt data during the interaction. The protocol ensures that the client's original data does not leave the local server when generating mapped features. The central server uses the resulting mapped features (essentially encrypted data) instead of the original data to train machine learning models. In theoretical analysis, we analyze the first protocol's security, communication costs, and computational complexity. In the experiment, we design seven experimental scenarios, including quantity balance, Non-IID data distribution and streaming data, and compare them with several mainstream privacy protection machine learning methods. The experimental results show that compared with centralized training without privacy protection, DSMBN can achieve the same test accuracy under the premise of protecting private data security. Compared with mainstream federated learning methods, DSMBN can achieve higher accuracy in the Non-IID scenarios and save computing time and communication resources.

关键词： Streaming data secure multi-party computing distributed computing broad learning system

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A privacy-preserving trading strategy for blockchain-based P2P electricity transactions

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APPLIED ENERGY 2023年第1期335卷

作者： Wang, Beibei Xu, Lun Wang, Jialei Southeast Univ Sch Elect Engn Nanjing 210096 Peoples R China

With the rising demand for energy in distribution networks and the growing development of communication technology, peer-to-peer (P2P) electricity trading realized by blockchain technology not only promotes the participation of distributed generation resources in the energy supply but also enhances the fairness of P2P electricity trading through the decentralized and transparent characteristics of the blockchain. However, owing to the openness and transparency of the on-chain data in the blockchain, the order information submitted by P2P market participants to the blockchain may encounter threats of information disclosure. To address this challenge, we have designed a novel three-layer architecture for P2P electricity trading, whose primary objective is to protect the private information submitted to the blockchain through a new privacy-preserving trading strategy. The proposed three-layer architecture is composed of a physical layer, information layer and market layer. An on-chain data protection method with homomorphic encryption and secure multi-party computing (SMPC) is used to sort and clear encrypted orders in the information layer, and the trading checking and safe settlement process of encrypted orders in continuous double auction (CDA) market are realized through grid security -constrained market mechanism in the market layer. In addition, the effectiveness of the proposed method is verified by case studies running on the IBM Hyperledger Fabric.

关键词： Peer-to-peer (P2P) electricity trading Blockchain Three-layer market architecture Homomorphic encryption secure multi-party computing Continuous double auction (CDA)

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Intelligent IoT Device Abnormal Traffic Detection Method Based on secure multi-party Computation 3

Intelligent IoT Device Abnormal Traffic Detection Method Bas...

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3rd Asian Conference on Frontiers of Power and Energy

作者： Zhong, Jiayong Wu, Chongchong Liu, Dinghao Shen, Zhenghua Wang, Xuewen State Grid Chongqing Elect Power Res Inst Chongqing Peoples R China State Grid Chongqing Elect Power Co Informat & Commun Branch Chongqing Peoples R China

ISBN: (纸本)9798350378467;9798350367676

The traditional Intelligent Internet of Things (IIoT) system has the problems of low detection efficiency, high cost, and difficulty in ensuring accuracy in detecting Abnormal Traffic Detection (ATD) of equipment, making it unable to cope with the growing large power grid network. A ATD method for IIoT devices based on secure multi-party computing (SM-PC) is proposed to address the above issues. Firstly, the basic architecture of the IIoT system and the principle of the device ATD were analyzed. Then, an analysis was conducted on the necessity of multi-party participation in ATD, and an SM-PC model was designed based on this. Finally, an ATD model was constructed based on SM-PC and the Isolation Forest (IsFo) algorithm: SMPC-IsFo. A comparative analysis was conducted between the proposed method and the other three comparative methods under the same conditions through simulation experiments. The results indicate that the proposed method has the highest accuracy and Fl score when using the CICIDS2017 and UNSW-NB15 datasets. On the two datasets, it reached 98.24%, 97.33%, and 89.31%, 88.19% respectively. Its performance is superior to the other three comparison methods.

关键词： secure multi-party computing Isolation Forest Intelligent Internet of Things Abnormal Traffic Detection Network Attack

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secure multi-party convex hull protocol based on quantum homomorphic encryption

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QUANTUM INFORMATION PROCESSING 2022年第1期22卷 1-12页

作者： Wang, Cheng Zhou, Ri-Gui Shanghai Maritime Univ Coll Informat Engn Shanghai 201306 Peoples R China Res Ctr Intelligent Informat Proc & Quantum Intell Shanghai 201306 Peoples R China

secure multi-party computational geometry (SMCG) is a branch of secure multi-party computing (SMC). The protocol is designed for secure multi-party convex hull computation in SMCG. Firstly, a secure two-party value comparison protocol based on quantum homomorphic encryption is proposed. Due to the nature of quantum homomorphic encryption, the protocol can well protect the security of data in the execution of quantum circuits and the interaction between parties. The result is announced by a semi-trusted third party. Using the value comparison protocol designed above, a secure multi-party convex hull protocol is proposed, which can safely solve the common convex hull of multiple user point sets. Then the correctness and security analysis are carried out, which proves that the protocol is safe and reliable.

关键词： secure multi-party computing Computational geometry Convex hull Quantum homomorphic encryption

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A secure Microgrid Data Storage Strategy with Directed Acyclic Graph Consensus Mechanism

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Intelligent Automation & Soft computing 2023年第9期37卷 2609-2626页

作者： Jian Shang Runmin Guan Wei Wang College of Computer and Information Hohai UniversityNanjing211100China Division of Research and Innovation Jiayuan Technology Co.Ltd.Nanjing211100China

The wide application of intelligent terminals in microgrids has fueled the surge of data amount in recent *** real-world scenarios,microgrids must store large amounts of data efficiently while also being able to withstand malicious *** meet the high hardware resource requirements,address the vulnerability to network attacks and poor reliability in the tradi-tional centralized data storage schemes,this paper proposes a secure storage management method for microgrid data that considers node trust and directed acyclic graph(DAG)consensus ***,the microgrid data storage model is designed based on the edge computing *** blockchain,deployed on the edge computing server and combined with cloud storage,ensures reliable data storage in the ***,a blockchain consen-sus algorithm based on directed acyclic graph data structure is then proposed to effectively improve the data storage timeliness and avoid disadvantages in traditional blockchain topology such as long chain construction time and low consensus ***,considering the tolerance differences among the candidate chain-building nodes to network attacks,a hash value update mechanism of blockchain header with node trust identification to ensure data storage security is *** results from the microgrid data storage platform show that the proposed method can achieve a private key update time of less than 5 *** the number of blockchain nodes is less than 25,the blockchain construction takes no more than 80 mins,and the data throughput is close to 300 *** with the traditional chain-topology-based consensus methods that do not consider node trust,the proposed method has higher efficiency in data storage and better resistance to network attacks.

关键词： Microgrid data security storage node trust degree directed acyclic graph data structure consensus mechanism secure multi-party computing blockchain

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Research on data privacy protection methods based on genome-wide association study

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INTERNATIONAL JOURNAL OF EMBEDDED SYSTEMS 2022年第1期15卷 1-8页

作者： Wu, Zongbo Xiao, Wenhui Deng, Han Yang, Lan Quanzhou Univ Informat Engn Sch Software Quanzhou Fujian Peoples R China Cent South Univ Sch Comp Sci & Engn Changsha Hunan Peoples R China Guangzhou Coll Technol & Business Big Data Dev & Res Ctr Guangzhou 528138 Peoples R China

The deployment of genome-wide association study (GWAS) requires a large amount of genomic data to support statistical analysis to obtain reliable prediction results. However, the data used in the research and the statistical information released by the research results can be used to determine the individuals corresponding to the genomic data, and there is a great privacy risk, resulting in restricted access to the genomic and other biomedical data. Therefore, researchers are paying more and more attention to data privacy protection in genome-wide association research and have developed various methods to protect private data. This article summarises the latest developments in privacy protection technology in genome-wide association research. Firstly, the article introduces the background knowledge of genome-wide association research and privacy protection technology;then, it introduces the privacy protection technology in GWAS: 1) homomorphic encryption;2) advanced research results related to secure multi-party computing, and then discuss the advantages and limitations of the two types of methods;finally, the article summarises and prospects the development of privacy protection technology in GWAS.

关键词： genome-wide association research privacy protection homomorphic encryption secure multi-party computing secret sharing

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A survey of the fusion of traditional data security technology and blockchain

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EXPERT SYSTEMS WITH APPLICATIONS 2024年第PartA期252卷

作者： Xu, Yuqing Xu, Guangxia Liu, Yong Liu, Yuan Shen, Ming Anhui Polytech Univ Sch Comp & Informat Wuhu 241000 Anhui Peoples R China Chongqing Univ Posts & Telecommun Sch Comp Sci & Technol Chongqing 400065 Peoples R China Guangzhou Univ Cyberspace Inst Adv Technol Guangzhou 510006 Peoples R China Aalborg Univ Dept Elect Syst DK-9220 Aalborg Denmark

Blockchain is a new distributed infrastructure and computing paradigm, which has been widely used in various fields. For example, utilizing a chain data structure to verify and restore data, using a distributed node consensus algorithm to generate and update data, applying cryptography to ensure safe data transmission, and employing intelligent contracts composed of automated script code to manipulate data. Data, seen as an essential production factor, promotes the rapid development of blockchain. However, opportunities and challenges coexist, and data security on the blockchain is one of the key points that need attention. This paper introduces data security and the technical framework for deblocking, focusing on the techniques of zero knowledge proof, K -Anonymity, secure multi -party computing, ring signature, homomorphic encryption, trusted execution environment, and the association of these data security protection technologies with blockchain, and compares several data security protection technologies. In this survey, the focus of blockchain data security is structured by first mentioning the source of the data, then combining the characteristics of integration and non -tampering to the blockchain to solve the problems of traditional data security, and lastly, using data security technology to solve the blockchain data security on the Internet to achieve the ecological security of the blockchain.

关键词： Blockchain Data security Differential privacy Homomorphic encryption K-Anonymity Ring signature secure multi-party computing Zero knowledge proof

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Blockchain multi-signature Wallet System Based on QR Code Communication 1

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5th CCF China Blockchain Conference (CBCC)

作者： Zhang, Hongxin Zou, Xin Xie, Guanghuan Li, Zhuo Zhejiang Univ Coll Comp Sci & Technol Hangzhou 310058 Peoples R China State St Technol Zhejiang Ltd Global Technol Serv Hangzhou 310013 Peoples R China

ISBN: (数字)9789811988776

ISBN: (纸本)9789811988769;9789811988776

In order to avoid the risk of theft and loss of the private key of the blockchain wallet, a novel secure and stable blockchain multi-party signature system combining software and hardware is proposed. First, at the software level, multi-party key management method is adopted to divide the blockchain wallet key into multiple fragments for multi-point storage. Threshold signature technology is adopted to provide key escrow and retrieval services. Then a cold wallet for storing keys is designed at the hardware level. In order to avoid the risk of being attacked by hackers through network contact, a visible light communication method based on Quick Response Code is proposed. The Base45 coding scheme is adopted to improve the coding efficiency of QR Code, and the GG18 multi-party signature process is optimized. Finally, this paper analyzes the security of visible light communication, and verifies the efficiency of this method by experiments.

关键词： Blockchain secure multi-party computing Hardware wallet QR Code encoding Visible light communication Digital asset escrow

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