DocumentCode
29424
Title
EPPDR: An Efficient Privacy-Preserving Demand Response Scheme with Adaptive Key Evolution in Smart Grid
Author
Hongwei Li ; Xiaodong Lin ; Haomiao Yang ; Xiaohui Liang ; Rongxing Lu ; Xuemin Shen
Author_Institution
Sch. of Comput. Sci. & Eng., Univ. of Electron. Sci. & Technol. of China, Chengdu, China
Volume
25
Issue
8
fYear
2014
fDate
Aug. 2014
Firstpage
2053
Lastpage
2064
Abstract
Smart grid has recently emerged as the next generation of power grid due to its distinguished features, such as distributed energy control, robust to load fluctuations, and close user-grid interactions. As a vital component of smart grid, demand response can maintain supply-demand balance and reduce users´ electricity bills. Furthermore, it is also critical to preserve user privacy and cyber security in smart grid. In this paper, we propose an efficient privacy-preserving demand response (EPPDR) scheme which employs a homomorphic encryption to achieve privacy-preserving demand aggregation and efficient response. In addition, an adaptive key evolution technique is further investigated to ensure the users´ session keys to be forward secure. Security analysis indicates that EPPDR can achieve privacy-preservation of electricity demand, forward secrecy of users´ session keys, and evolution of users´ private keys. In comparison with an existing scheme which also achieves forward secrecy, EPPDR has better efficiency in terms of computation and communication overheads and can adaptively control the key evolution to balance the trade-off between the communication efficiency and security level.
Keywords
data privacy; demand side management; power engineering computing; private key cryptography; smart power grids; EPPDR; adaptive key evolution; adaptive key evolution technique; close user-grid interactions; communication efficiency; communication overheads; cyber security; demand response; distributed energy control; efficient privacy-preserving demand response scheme; forward secrecy; homomorphic encryption; load fluctuations; power grid; privacy-preserving demand aggregation; security analysis; security level; session keys; smart grid; supply-demand balance; user electricity bills; user privacy; user private keys; Educational institutions; Electricity; Encryption; Load management; Smart grids; Smart grid; demand response; forward secrecy; key evolution; privacy-preserving;
fLanguage
English
Journal_Title
Parallel and Distributed Systems, IEEE Transactions on
Publisher
ieee
ISSN
1045-9219
Type
jour
DOI
10.1109/TPDS.2013.124
Filename
6506075
Link To Document