支持多功能的V2G网络隐私保护数据聚合方案

doi:10.11959/j.issn.1000-436x.2023081

Abstract

Abstract:

In view of the problem that the functions of the current privacy protection data aggregation scheme were insufficient to meet the increasingly rich application requirements, a multi-function supported privacy protection data aggregation (MFPDA) scheme for V2G network was proposed.By using cryptographic algorithms such as BGN, BLS, and Shamir’s secret sharing, as well as fog computing and consortium blockchain technology, multiple security functions like fault tolerance, resistance to internal attacks, batch signature verification, no need for trusted third parties, and multiple aggregation functions were integrated into one privacy protection data aggregation scheme.Security analysis shows that the proposed scheme can protect data aggregation’s security, privacy and reliability.The performance evaluation shows that the introduction of fog computing can significantly reduce the computing overhead of the control center, and the reduction rate can be as high as 66.6%; the improvement of the consortium blockchain can effectively reduce the communication and storage overhead of the system, and the reduction rate can reach 16.7% and 24.9% respectively.

Key words: privacy protection, data aggregation, BGN homomorphic cryptosystem, consortium blockchain

CLC Number:

TP309.2

Baiji HU, Xiaojuan ZHANG, Yuancheng LI, Rongxin LAI. Multi-function supported privacy protection data aggregation scheme for V2G network[J]. Journal on Communications, 2023, 44(4): 187-200.

Figures/Tables 14

符号	描述
$N, G, G_{T}, e, g, h$	BGN公钥
p	BGN私钥
$ω$	用户层的电动汽车/充电桩总数
$σ$	雾计算层的雾节点总数
k+ 1	(k+1,σ)门限秘密共享的阈值
${EV}_{i}$	第i个电动汽车
${CP}_{i}$	第i个充电桩
$d_{i}$	EV_i 的充/放电数据
$C_{i}$	第i个BGN密文充/放电数据
$i d_{{EV}_{i}}$	EV_i 的身份标识
$i d_{C P_{i}}$	CP_i 的身份标识
$S_{i}$	CP_i 对第i个BGN密文数据的BLS签名
$P_{i}$	EV_i 向雾节点上报的数据报告
$T_{i}$	第i个数据报告被打包成的一个交易
$A_{1}$	聚合器对所有密文进行均值聚合的结果
$A_{2} \| \| A_{3}$	聚合器对所有密文进行方差聚合的结果
$A_{4} \| \| A_{5} \| \| A_{6}$	聚合器对所有密文进行单向方差分析聚合的结果
${Fog}_{j}$	聚合器随机挑选的k+1个正常工作的第 j 个雾节点
${id}_{{Fog}_{j}}$	Fog _j的身份标识
$B_{m}^{j}$	Fog _j 对 A_m,m=1,…,6 进行秘密共享计算得到的中间值
$C^{j}$	Fog _j计算得到的聚合密文数据
$S_{_{{Fog}_{j}}}$	Fog _j对聚合密文数据C^j的BLS签名
M	每个充/放电数据大小的上限

ω	k	T_pl/μs	$\frac{T_{pl}}{\sqrt{ω M}} /μs$
10 000	2	37 360.0	37.36
20 000	4	52 976.4	37.46
30 000	6	64 640.1	37.32
40 000	8	74 660.0	37.33
50 000	10	83 405.3	37.3
60 000	12	91 635.4	37.41
70 000	14	98 474.9	37.22
80 000	16	105 952.9	37.46
90 000	18	111 930.0	37.31
100 000	20	118 205.9	37.38

References 29

[1]	NIMALSIRI N I , MEDIWATHTHE C P , RATNAM E L ,et al. A survey of algorithms for distributed charging control of electric vehicles in smart grid[J]. IEEE Transactions on Intelligent Transportation Systems, 2020,21(11): 4497-4515.
[2]	HAN W L , XIAO Y . IP²DM:integrated privacy-preserving data management architecture for smart grid V2G networks[J]. Wireless Communications and Mobile Computing, 2016,16(17): 2956-2974.
[3]	赵小敏, 梁学利, 蒋双双 ,等. 安全的WSN数据融合隐私保护方案设计[J]. 通信学报, 2014,35(11): 154-161.
	ZHAO X M , LIANG X L , JIANG S S ,et al. Design of secure privacy-preserving data aggregation scheme for wireless sensor network[J]. Journal on Communications, 2014,35(11): 154-161.
[4]	HAN W , XIAO Y . Privacy preservation for V2G networks in smart grid:a survey[J]. Computer Communications, 2016,91/92: 17-28.
[5]	张晓莹, 彭辉, 陈红 . 无线传感器网络隐私保护数据聚集技术[J]. 通信学报, 2018,39(10): 130-142.
	ZHANG X Y , PENG H , CHEN H . State-of-the-art survey of privacy-preserving data aggregation in wireless sensor networks[J]. Journal on Communications, 2018,39(10): 130-142.
[6]	LU W F , REN Z H , XU J ,et al. Edge blockchain assisted lightweight privacy-preserving data aggregation for smart grid[J]. IEEE Transactions on Network and Service Management, 2021,18(2): 1246-1259.
[7]	CHEN L , LU R X , CAO Z F ,et al. MuDA:multifunctional data aggregation in privacy-preserving smart grid communications[J]. Peer-to-Peer Networking and Applications, 2015,8(5): 777-792.
[8]	ZHANG X J , HUANG C , XU C X ,et al. Key-leakage resilient encrypted data aggregation with lightweight verification in fog-assisted smart grids[J]. IEEE Internet of Things Journal, 2021,8(10): 8234-8245.
[9]	ZHANG Z Z , CAO T F , WANG X Y ,et al. VC-PPQ:privacy-preserving Q-learning based video caching optimization in mobile edge networks[J]. IEEE Transactions on Network Science and Engineering, 2022,9(6): 4129-4144.
[10]	WANG J , WU L B , ZEADALLY S ,et al. Privacy-preserving data aggregation against malicious data mining attack for IoT-enabled smart grid[J]. ACM Transactions on Sensor Networks, 2021,17(3): 1-25.
[11]	JOHNSON D , MENEZES A , VANSTONE S . The elliptic curve digital signature algorithm (ECDSA)[J]. International Journal of Information Security, 2001,1(1): 36-63.
[12]	BONEH D , LYNN B , SHACHAM H . Short signatures from the Weil pairing[C]// Advances in Cryptology - ASIACRYPT 2001. Berlin:Springer, 2001: 514-532.
[13]	LIU Y N , GUO W , FAN C N ,et al. A practical privacy-preserving data aggregation (3PDA) scheme for smart grid[J]. IEEE Transactions on Industrial Informatics, 2018,15(3): 1767-1774.
[14]	DING Y , WANG B Y , WANG Y J ,et al. Secure metering data aggregation with batch verification in industrial smart grid[J]. IEEE Transactions on Industrial Informatics, 2020,16(10): 6607-6616.
[15]	GUO C , JIANG X , CHOO K K R ,et al. Lightweight privacy preserving data aggregation with batch verification for smart grid[J]. Future Generation Computer Systems, 2020,112: 512-523.
[16]	PENT G M , DHAINI A R , HO P H . Toward integrated cloud-fog networks for efficient IoT provisioning:key challenges and solutions[J]. Future Generation Computer Systems, 2018,88: 606-613.
[17]	LI X , LIU S P , WU F ,et al. Privacy preserving data aggregation scheme for mobile edge computing assisted IoT applications[J]. IEEE Internet of Things Journal, 2019,6(3): 4755-4763.
[18]	MERAD B O R , SENOUCI S M . An efficient and secure multidimensional data aggregation for fog-computing-based smart grid[J]. IEEE Internet of Things Journal, 2021,8(8): 6143-6153.
[19]	CHEN S , YANG L , ZHAO C ,et al. Double-blockchain assisted secure and anonymous data aggregation for fog-enabled smart grid[J]. Engineering, 2022,8: 159-169.
[20]	NAKAMOTO S . BITCOIN:a peer-to-peer electronic cash system[R]. 2008.
[21]	WANG Y X , LUO F J , DONG Z Y ,et al. Distributed meter data aggregation framework based on Blockchain and homomorphic encryption[J]. IET Cyber-Physical Systems:Theory ＆ Applications, 2019,4(1): 30-37.
[22]	FAN H B , LIU Y N , ZENG Z X . Decentralized privacy-preserving data aggregation scheme for smart grid based on blockchain[J]. Sensors, 2020,20(18): 5282.
[23]	WANG X D , GARG S , LIN H ,et al. A secure data aggregation strategy in edge computing and blockchain-empowered Internet of things[J]. IEEE Internet of Things Journal, 2022,9(16): 14237-14246.
[24]	BONEH D , GOH E J , NISSIM K . Evaluating 2-DNF Formulas on Ciphertexts[C]// Theory of Cryptography Conference. Berlin:Springer, 2005: 325-341.
[25]	MENEZES A J , OORSCHOT P C V , VANSTONE S A . Handbook of applied cryptography[M]. Boca Raton: CRC Press, 2018.
[26]	SHAMIR A . How to share a secret[J]. Communications of the ACM, 1979,22(11): 612-613.
[27]	VAHEDI E , BAYAT M , PAKRAVAN M R ,et al. A secure ECC-based privacy preserving data aggregation scheme for smart grids[J]. Computer Networks, 2017,129: 28-36.
[28]	SHEN H , ZHANG M W , SHEN J . Efficient privacy-preserving cube-data aggregation scheme for smart grids[J]. IEEE Transactions on Information Forensics and Security, 2017,12(6): 1369-1381.
[29]	ANDROULAKI E , BARGER A , BORTNIKOV V ,et al. Hyperledger Fabric:a distributed operating system for permissioned blockchains[C]// Proceedings of the Thirteenth EuroSystem Conference. New York:ACM Press, 2018: 1-15.

Metrics

Recommended 0

No Suggested Reading articles found!

方案				功能特性
方案	数据机密性	数据完整性和认证	容错	抵抗内部攻击	批量签名验证	不需要可信第三方	多种聚合函数
文献[27]	√	√	×	√	√	×	×
文献[13]	√	√	×	×	√	√	×
文献[28]	√	√	×	×	√	×	×
文献[8]	√	√	×	√	×	×	√
文献[7]	√	×	×	×	×	×	√
文献[18]	√	√	√	×	√	×	×
MFPDA	√	√	√	√	√	√	√

参数	签名	交易数据头		动作数组
参数	签名	通道数据头	签名数据头	动作数组
长度/B	L_ecd	72	36	φL _A

参数	数据头	链码提案载荷	动作
参数	数据头	链码提案载荷	背书ID	提案响应载荷
长度/B	36	36	8	4ψ

参数		区块数据头		交易数组	元数据
参数	序号	前一个区块的哈希值	本区块数据哈希值	交易数组	元数据
长度/B	4	32	32	ωL _T	48

Multi-function supported privacy protection data aggregation scheme for V2G network

RichHTML

PDF

Knowledge

Abstract

Cite this article

share this article

Figures/Tables 14

References 29

Related Articles 15

Metrics

Recommended 0

[1]	Xindi MA, Qinghua LI, Qi JIANG, Zhuo MA, Sheng GAO, Youliang TIAN, Jianfeng MA. Byzantine-robust federated learning over Non-IID data [J]. Journal on Communications, 2023, 44(6): 138-153.
[2]	Tao FENG, Liqiu CHEN, Junli FANG, Jianming SHI. Blockchain data sharing scheme based on localized difference privacy and attribute-based searchable encryption [J]. Journal on Communications, 2023, 44(5): 224-233.
[3]	Ming XU, Baojun ZHANG, Yiming WU, Chenduo YING, Ning ZHENG. Cyber attacks and privacy protection distributed consensus algorithm for multi-agent systems [J]. Journal on Communications, 2023, 44(3): 117-127.
[4]	Xuewang ZHANG, Zhihong LI, Jinzhao LIN. Privacy protection scheme based on fair blind signature and hierarchical encryption for consortium blockchain [J]. Journal on Communications, 2022, 43(8): 131-141.
[5]	Jifeng WANG, Guofeng WANG. Research on ciphertext search and sharing technology in edge computing mode [J]. Journal on Communications, 2022, 43(4): 227-238.
[6]	Huamin FENG, Rui SHI, Feng YUAN, Yanjun LI, Yang YANG. Efficient strong privacy protection and transferable attribute-based ticket scheme [J]. Journal on Communications, 2022, 43(3): 63-75.
[7]	Yan YAN, Yiming CONG, Mahmood Adnan, Quanzheng SHENG. Statistics release and privacy protection method of location big data based on deep learning [J]. Journal on Communications, 2022, 43(1): 203-216.
[8]	Hui LIU, Xinyan LIU, Yan XU, Hong ZHONG, Meng WANG. Privacy protection of warning message publishing protocol in VANET [J]. Journal on Communications, 2021, 42(8): 120-129.
[9]	Hongtao LI, Xiaoyu REN, Jie WANG, Jianfeng MA. Continuous location privacy protection mechanism based on differential privacy [J]. Journal on Communications, 2021, 42(8): 164-175.
[10]	Wenbo ZHANG, Wenhua HUANG, Jingyu FENG. Secure communication mechanism for VSN based on certificateless signcryption [J]. Journal on Communications, 2021, 42(7): 128-136.
[11]	Jie CUI, Xuefeng CHEN, Jing ZHANG, Lu WEI, Hong ZHONG. Bus cache-based location privacy protection scheme in the Internet of vehicles [J]. Journal on Communications, 2021, 42(7): 150-161.
[12]	Guangjun LIU, Wangmei GUO, Jinbo XIONG, Ximeng LIU, Changyu DONG. Lightweight privacy protection data auditing scheme for regenerating-coding-based distributed storage [J]. Journal on Communications, 2021, 42(7): 220-230.
[13]	Yubo SONG, Qi CHEN, Rui SONG, Aiqun HU. Android application privacy protection mechanism based on virtual machine bytecode injection [J]. Journal on Communications, 2021, 42(6): 171-181.
[14]	Youhuizi LI, Yuyu YIN, Honghao GAO, Yi JIN, Xinheng WANG. Survey on privacy protection in non-aggregated data sharing [J]. Journal on Communications, 2021, 42(6): 195-212.
[15]	Yongming HUANG, Chong ZHENG, Zhengming ZHANG, Xiaohu YOU. Research on mobile edge computing and caching in massive wireless communication network [J]. Journal on Communications, 2021, 42(4): 44-61.