An Efficient and Secure Data Aggregation Scheme in Smart Grid

Abstract

In order to deal with the massive, heterogeneous and distributed power data, it is urgent to use new information technology to process and manage power data in smart grid. In this paper, an efficient and secure data aggregation scheme in smart grid is proposed (ESDAS). This paper first models the distributed and hierarchical data aggregation architecture of smart grid by utilizing mathematical method. In order to find the optimal aggregator placement, a distributed cost update algorithm is also proposed. By introducing the expired timer parameter considering link states, the proposed algorithm can significantly reduce the communication cost of data aggregation. Finally, for the purpose of dealing with internal false data injection attacks, the paper presents an effective solution by establishing rule matching set of users' data. We show with simulation that ESDAS can improve the efficiency and security of smart grid.