Edge Computing Based Bad Metering Data Detection

False data injection attacks aim at destroying integrity and availability of data in electric metering system. False data detection scheme is of great significance to the secure and stable operation of smart grid. In order to address many security problems caused by false data in smart grid, this paper proposes a collaborative detection model of false data injection attacks based on edge computing, which improves the network structures of traditional metering system and provides the capability of global monitoring and detection function for false data by edge servers in smart grid. The scheme proposes some rules to detect false data injection in electric metering system. Moreover, a reputation mechanism for data collectors is constructed in the paper. The simulation experiments show the validity of proposed scheme.