Privacy-Preserving Data Aggregation for Single Point of Failure in Smart Grid

Abstract

With the increasing popularity of smart grid and fog computing, fog computing-based network privacy is one of the biggest security challenges for data aggregating in smart grid. Many researchers have proposed corresponding solutions. However, in most schemes, a single fog node is responsible for the data aggregation of the smart meter sub-area within its range, which is prone to the risk of single point of failure. To solve the above problems, this paper designed a fog node allocation strategy based on the fog computing smart grid system model containing fog groups. The fog nodes in fog group are allocated by dynamic priority method to reduce the risk of single point failure. Furthermore, a privacy preserving multidimensional data aggregation scheme is proposed, which supports smart meters to report multiple types of data to control center at one time, so as to realize efficient data processing. Security analysis shows that this scheme can better satisfy the security. The performance analysis shows the advantages of this scheme in computation cost.