基于分布式数据聚合的智能电网隐私保护协议研究

doi:10.3969/j.issn.1671-1122.2015.12.010

信息网络安全 ›› 2015, Vol. 26 ›› Issue (12): 59-65.doi: 10.3969/j.issn.1671-1122.2015.12.010

• • 上一篇

基于分布式数据聚合的智能电网隐私保护协议研究

石沙沙, 孙文红, 江明建, 曲海鹏()

中国海洋大学信息科学与工程学院,山东青岛 266100

收稿日期:2015-11-12 出版日期:2015-12-20 发布日期:2016-01-04
作者简介:
作者简介：石沙沙（1990—）,女,山东,硕士研究生,主要研究方向为计算机应用技术;孙文红（1991—）,女,山东,硕士研究生,主要研究方向为计算机应用技术;江明建（1991—）,男,山东,硕士研究生,主要研究方向为智能电网安全;曲海鹏（1972—）,男,山东,副教授,博士,主要研究方向为信息安全与网络安全。
基金资助:
国家自然科学基金[61379127];海洋公益性项目[201105033]

Research on Smart Grid Privacy Protocol Based on Distributed Data Aggregation

Shasha SHI, Wenhong SUN, Mingjian JIANG, Haipeng QU()

College of Information Science and Engineering, Ocean University of China, Qingdao Shandong 266100, China

Received:2015-11-12 Online:2015-12-20 Published:2016-01-04

摘要/Abstract

摘要：

智能电网能够利用用户实时用电信息对电网运行状态进行有效监控和预测,成为近年来电网技术的研究热点之一。然而在对实时用电信息进行分析和处理的同时也会带来用户隐私泄露问题。为了解决用户数据隐私保护的问题,文章基于前人研究的基础提出了新的分布式数据聚合模型,该分布式数据聚合模型在不需要增加聚合器的前提下达到数据离散化存储的目的,增加分析用户行为信息的难度。文章基于分布式数据聚合模型,提出一种新的隐私数据聚合协议,并采用同态加密与数字签名相结合的加密技术来保护用户用电数据的机密性和完整性。文章最后对提出的方案进行了安全性和有效性分析,分析表明该方案可以达到有效进行数据隐私保护的目的,能够提高智能电网数据传输的完整性和保密性。

关键词: 智能电网, 隐私保护, 分布式数据聚合, 同态加密

Abstract:

Smart grid can make use of users’ real-time electricity consumption information monitor and forecast the operation conditions effectively, and has been one of the hotspots of grid technologies. However, the analysis and processing of their real-time electricity consumption information can result in users’ privacy leaking. In order to solve the problem of user data privacy protection, this paper proposes a new distributed data aggregation model based on previous studies. The distributed data aggregation model can achieve the purpose of data discretization and increase the difficulty of analyzing users’ behavior information without increasing other aggregators. Based on the idea of distributed data aggregation, this paper puts forwards a new privacy data aggregation protocol and employs the encryption technique, combining the homomorphic encryption and digital signature, to guarantee the confidentiality and integrality of users’ data. The authors have analyzed the security and effectiveness of the protocol in this paper. The result demonstrates that the scheme can achieve the goal of data privacy protection effectively and improve the integrity and confidentiality of data transmission in the smart grid.

Key words: smart grid, privacy protection, distributed data aggregation, homomorphic encryption

中图分类号:

TP309

石沙沙, 孙文红, 江明建, 曲海鹏. 基于分布式数据聚合的智能电网隐私保护协议研究[J]. 信息网络安全, 2015, 26(12): 59-65.

Shasha SHI, Wenhong SUN, Mingjian JIANG, Haipeng QU. Research on Smart Grid Privacy Protocol Based on Distributed Data Aggregation[J]. Netinfo Security, 2015, 26(12): 59-65.

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参考文献 21

[1]	刘振亚. 智能电网知识读本[M]. 北京:中国电力出版社,2010.
[2]	EFTHYMIOU C, KALOGRIDIS G.Smart Grid Privacy Via Anonymization of Smart Metering Data[C]//Smart Grid Communications (SmartGridComm). 2010 First IEEE International Conference on, October 4-6, 2010, Gaithersburg, MD. New York: IEEE, 2010: 238-243.
[3]	唐春明,郑晓龙. 云计算中一种对大群组用户的隐私保护公共审计方案[J]. 信息网络安全,2015(2):19-25.
[4]	DIMITRIOU T, KARAME G.Privacy-friendly Tasking and Trading of Energy in Smart Grids[C]//ACM. The 28th Annual ACM, Symposium on Applied Computing, March 18-22, 2013, Coimbra, Portugal. New York: ACM, 2013: 652-659.
[5]	ROTTONDI C, VERTICALE G, KRAUS C.Secure Distributed Data Aggregation in the Automatic Metering Infrastructure of Smart Grids[C]//IEEE. 2013 IEEE International Conference on Communications (ICC), June 9-13, 2013, Budapest. New York: IEEE, 2013: 4466-4471.
[6]	LI F, LUO B, LIU P.Secure Information Aggregation for Smart Grids Using Homomorphic Encryption[C]//IEEE. Smart Grid Communications, 2010 First IEEE International Conference on, October 4-6, 2010, Gaithersburg, MD. New York: IEEE, 2010: 327-332.
[7]	PAILLIER P.Public-key Cryptosystems Based on Composite Degree Residuosity Classes[C]//IACR. Advances in Cryptology-EUROCRYPT’99, International Conference on the Theory and Application of Cryptographic Techniques, May 2-6, 1999, Prague, Czech Republic. Berlin Heidelberg: Springer, 1999: 223-238.
[8]	白健,杨亚涛,李子臣. Paillier公钥密码体制同态特性及效率分析[J]. 北京电子科技学院学报,2013,20(4):1-5.
[9]	吕海峰,丁勇,代洪艳,等. LWE上的全同态加密方案研究[J]. 信息网络安全,2015(1):32-38.
[10]	DIMITRIOU T, KARAME G.Privacy-Friendly Planning of Energy Distribution in Smart Grids[C]//ACM. 21st ACM Conference on Computer and Communications Security, November 3-7, 2014, The Scottsdale Plaza Resort, Scottsdale, Arizona, USA. New York: ACM, 2014: 1-6.
[11]	KALOGRIDIS G, EFTHYMIOU C, DENIC S Z, et al.Privacy for Smart Meters: Towards Undetectable Appliance Load Signatures[C]//IEEE. Smart Grid Communications, 2010 First IEEE International Conference on, October 4-6, 2010, Gaithersburg, MD, USA. New York: IEEE, 2010: 232-237.
[12]	MCLAUGHLIN S, MCDANIEL P, AIELLO W.Protecting Consumer Privacy from Electric Load Monitoring[C]//ACM. 18th ACM Conference on Computer and Communications Security, October 17-21, 2011, Chicago. New York: ACM, 2011: 87-98.
[13]	ZHAO Jing, JUNG T, WANG Yu, et al.Achieving Differential Privacy of Data Disclosure in the Smart Grid[C]//IEEE. IEEE INFOCOM 2014-IEEE Conference on Computer Communications, April 27-May 2, 2014, Toronto. New York: IEEE, 2014: 504-512.
[14]	YANG Weining, LI Ninghui, QI Yuan, et al.Minimizing Private Data Disclosures in the Smart Grid[C]//ACM. 2012 ACM Conference on Computer and Communications Security, October 16-18, 2012, NC, USA. New York: ACM, 2012: 415-427.
[15]	EFTHYMIOU C, KALOGRIDIS G.Smart Grid Privacy via Anonymization of Smart Metering Data[C]//IEEE. Smart Grid Communications (SmartGridComm), 2010 First IEEE International Conference on, October 4-6, 2010, Gaithersburg, MD. New York: IEEE, 2010: 238-243.
[16]	GARCIA F D, JACOBS B.Privacy-friendly Energy-metering via Homomorphic Encryption[M]. Heidelberg: Springer Berlin, 2011.
[17]	RIAL A, DANEZIS G.Privacy-preserving Smart Metering[C]//ACM. 10th Annual ACM Workshop on Privacy in the Electronic Society, October 17-21, 2011, Chicago. New York: ACM, 2011: 49-60.
[18]	MOLINA-MARKHAM A, SHENOY P, FU K, et al.Private Memoirs of a Smart Meter[C]//ACM. 2nd ACM Workshop on Embedded Sensing Systems for Energy-efficiency in Building, October 2, 2010, Dublin, Ireland. New York: ACM, 2010: 61-66.
[19]	王志刚,马春光,史晓倩. 基于Binary LWE的全同态加密方案研究[J]. 信息网络安全,2015(7):41-50.0
[20]	QUINN E L.Privacy and the New Energy Infrastructure[J]. Available at SSRN 1370731, 2009, 43(2): 26-35.
[21]	陈福臻,程久军,廖竞学,等. 基于网络编码的同态HASH抗污染攻击系统研究[J]. 信息网络安全,2015(6):33-40.

基于分布式数据聚合的智能电网隐私保护协议研究

Research on Smart Grid Privacy Protocol Based on Distributed Data Aggregation

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