Power IoT System Security Monitoring Based On Power Consumption Side Channel Information
Jiachang Wen, Chen Yan, Xiaoyu Ji, Wenyuan Xu · 2022
With the widespread use of new technologies such as mobile Internet, cloud computing, and Internet of Things in power systems, the number of terminal devices in power systems has increased dramatically, and the ensuing security vulnerabilities have increased, making terminal devices increasingly vulnerable to cyber attacks such as ransomware viruses. In this paper, we focus on the security of terminal devices in power systems and realize security monitoring of power terminals by collecting power consumption side channel information of power terminal devices in normal and abnormal states, using training device abnormality identification models using supervised learning algorithms with some time-domain frequency-domain feature information of power consumption as power consumption features of the devices.