Efficient prevention technique for false data injection attack in smart grid

Abstract

False data injection (FDI) attack is one of the severe attacks that threatens the smart grid's efficiency and reliability. Power grid's status is monitored by many measurement units spread all over the grid; these units periodically send their measurements to the grid's control center (CC), which utilizes them to make the right decisions for the grid. FDI attack inserts fake measurements among the correct ones to mislead CC to make wrong decisions and consequently impact on the grid's performance. Several works are proposed to only detect FDI attack utilizing various estimation tests and optimization techniques. In our paper, we propose an FDI attack prevention technique that is based on protecting the integrity of the measurements at measurement units and during their transmission to the CC, even with the presence of compromised units. So, the proposed scheme alleviates the negative impacts of FDI attack on grid's performance. Security analysis and performance evaluation show that our scheme guarantees the integrity and availability of the measurements with lightweight overhead, especially on the restricted-capabilities measurement units.