Preserving User Privacy in the Smart Grid by Hiding Appliance Load Characteristics

摘要：

　　As data transmitted in the smart grid are fine-grained and private, the personal habits and behaviors of inhabitants may be revealed by data mining algorithms.In fact, nonintrusive appliance load monitor ing (NALM) algorithms have substantially compromised user privacy in the smart grid.It has been a realistic threat to deduce power usage pat terns of residents with NALM algorithms.In this paper, we introduce a novel algorithm using an in-residence battery to counter NALM al gorithms.The main idea of our algorithm is to keep the metered load around a baseline value with tolerable deviations.Since this algorithm can utilize the rechargeable battery more efficiently and reasonably, the metered load will be maintained at stable states for a longer time period.We then implement and evaluate our algorithm under two metrics, i.e., the step changes reduction and the mutual information, respectively.The simulations show that our algorithm is effective, and exposes less information about inhabitants compared with a previously proposed algorithm.

关键词： Smart grid information security privacy utility rechargeable battery

作者: Baosheng Ge Wen-Tao Zhu

作者单位: State Key Laboratory of Information Security (DCS Center) Institute of Information Engineering,Chine State Key Laboratory of Information Security (DCS Center) Institute of Information Engineering,Chine

会议类型: 国际会议

会议名称: The 5th International Symposium on Cyberspace Safety and Security ( CSS2013)(第五届国际网络空间安全和安保研讨会)

会议地点: 张家界

会议语种:英文

页码: 67-80

在线出版日期: 2013-11-13（万方平台首次上网日期，不代表论文的发表时间）