An efficient privacy-preserving algorithm based on randomized response in IoT-based smart grid
Document Type
Conference Proceeding
Publication Date
12-4-2018
Abstract
In this paper, we propose a new randomized response algorithm that can achieve differential-privacy and utility guarantees for consumer's behaviors, and process a batch of data at each time. Firstly, differing from traditional differential private approach-es, we add randomized response noise into the behavior signa-tures matrix to achieve an acceptable utility-privacy tradeoff. Secondly, a behavior signature modeling method based on sparse coding is proposed. After some lightweight trainings us-ing the energy consumption data, the dictionary will be associat-ed with the behavior characteristics of the electric appliances. At last, through the experimental results verification, we find that our Algorithm can preserve consumer's privacy without comprising utility.
Recommended Citation
Cao, Hui; Liu, Shubo; Guan, Zhitao; Wu, Longfei; Deng, Haonan; and Du, Xiaojiang, "An efficient privacy-preserving algorithm based on randomized response in IoT-based smart grid" (2018). College of Health, Science, and Technology. 1013.
https://digitalcommons.uncfsu.edu/college_health_science_technology/1013