EPPDR: An Efficient Privacy-Preserving Demand Response Scheme with Adaptive Key Evolution in Smart Grid

• Published in: IEEE transactions on parallel and distributed systems Vol. 25; no. 8; pp. 2053 - 2064
• Main Authors: Li, Hongwei, Lin, Xiaodong, Yang, Haomiao, Liang, Xiaohui, Lu, Rongxing, Shen, Xuemin
• Format: Journal Article
• Language: English
• Published: New York IEEE 01.08.2014; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Balancing; demand response; Educational institutions; Electric utilities; Electricity; Encryption; Energy management; Evolution; forward secrecy; key evolution; Keys; Load management; Network security; privacy-preserving; Secrecy aspects; Security; Smart grid; Smart grids
• ISSN: 1045-9219; 1558-2183
• DOI: 10.1109/TPDS.2013.124

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.