A distributed privacy preserving framework for the Smart Grid

Smart grid is envisioned to be deployed on cyberin-frastructure, which makes it vulnerable to cyberattacks. Studies have shown that by accessing the metering data, behavioral patterns of the customers can be derived by analysis. Therefore, to protect the privacy of the customers, it is important to develop privacy-preserving protocols and frameworks. Various studies in the smart grid domain address the privacy issue, but the techniques either have a high computational overhead or they are dependent on a single dedicated aggregator, making them prone to single points of failure. In this paper, a framework based on Shamir's secret sharing is proposed to address the above-mentioned issues. The framework is designed to prevent dedicated aggregators and the electrical utility from linking the aggregated reading to a specific smart meter. The security of the proposed framework is analyzed with respect to different attack scenarios.