Context based Detections against Legal False Price Data and Malicious Disconnect Commands in Smart Grid

In smart grid, some attackers manage to get their false price data and malicious disconnect commands to pass authentications on smart meters by stealing legal credentials. Against those threats, we propose the detection mechanisms based on context analyses. Specifically, we analyze the communication scenarios of true price data and normal disconnect command and investigate the attack scenarios. We also formalize the contexts for that true data and command as well as the attack contexts. We further design the detection unit with specific requirements and propose the detection algorithms respectively against false price data and malicious disconnect command, of which both are with legal credentials. We evaluate the detection mechanisms by selecting evaluation parameters through simulation procedures. Simulation results demonstrate how the parameters affect the detection accuracy and we suggest improvement measures to increase the detection accuracy.