A robust and privacy‐preserving aggregation scheme for secure smart grid communications in digital communities. Issue 15 (30th January 2015)

• Record Type: Journal Article
• Authors: Fu, Shuai; Ma, Jianfeng; Li, Hongtao; Jiang, Qi
• Is Part Of: Security and communication networks. Volume 9:Issue 15(2016)
• Page Start: 2779
• Page End: 2788
• Publication Date: 2015-01-30
• Subjects: privacy preserving -- smart grid -- multi‐dimensional aggregation -- security -- batch verification -- digital community; Computer networks -- Security measures -- Periodicals; Computer security -- Periodicals; Cryptography -- Periodicals; 005.805
• DOI: 10.1002/sec.1188
• Languages: English
• ISSNs: 1939-0114

Abstract

ABSTRACT: By offering indisputable advantages over traditional grid including remote readings and load balancing, smart grid is regarded as the modernization of the electricity delivery system. In this paper, we propose a privacy‐preserving and secure multi‐dimensional aggregation scheme for smart grid communications in digital communities. By integrating privacy homomorphism encryption with aggregation signature scheme, data authentication and integrity protection are performed and proved without disclosing any fine‐grained user consumption data. The construction of member list allows the fault tolerance of our scheme against accidental errors. In addition, the batch verification technique is adopted to reduce the computation cost of the operation center, and each user's computation cost is independent of the number of collected data types. Security analysis and performance evaluation demonstrate that the proposed scheme can resist various security threats and preserve identity privacy and has significantly less communication overhead and computation cost than other existing approaches. Copyright © 2015 John Wiley & Sons, Ltd. Abstract : We propose a privacy‐preserving and secure multi‐dimensional aggregation scheme for smart grid communications. Data authentication and integrity protection are performed and proved without disclosing any fine‐grained user consumption data by integrating privacy homomorphism encryption with aggregation signature scheme. Security analysis and performance evaluation demonstrate that the proposed scheme can resist various security threats and preserve identity privacy while possessing significantly less communication overhead and computation cost than other existing approaches.