Secure and Fine-grained Electricity Consumption Aggregation Scheme for Smart Grid

• Gang Shen,
• Yixin Su,
• Danhong Zhang,
• Huajun Zhang,
• Binyu Xiong,
• Mingwu Zhang,

Vol. 12, No. 4, April 29, 2018
10.3837/tiis.2018.04.009, Download Paper (Free):

• Smart Grid
• fine-grained data
• electricity consumption
• aggregation
• forward-backward security

Abstract

Currently, many of schemes for smart grid data aggregation are based on a one-level gateway (GW) topology. Since the data aggregation granularity in this topology is too single, the control center (CC) is unable to obtain more fine-grained data aggregation results for better monitoring smart grid. To improve this issue, Shen et al. propose an efficient privacy-preserving cube-data aggregation scheme in which the system model consists of two-level GW. However, a risk exists in their scheme that attacker could forge the signature by using leaked signing keys. In this paper, we propose a secure and fine-grained electricity consumption aggregation scheme for smart grid, which employs the homomorphic encryption to implement privacy-preserving aggregation of users’ electricity consumption in the two-level GW smart grid. In our scheme, CC can achieve a flexible electricity regulation by obtaining data aggregation results of various granularities. In addition, our scheme uses the forward-secure signature with backward-secure detection (FSBD) technique to ensure the forward-backward secrecy of the signing keys. Security analysis and experimental results demonstrate that the proposed scheme can achieve forward-backward security of user’s electricity consumption signature. Compared with related schemes, our scheme is more secure and efficient.

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