Big Data Based Intrusion Detection of Smart Meters

Abstract

Big data based Intrusion Detection System(IDS) of Advanced Meter Infrastructure(AMI) is proposed in this paper. Since malicious intrusion of computer system is usually characterized by higher CPU utilization rate, and etc. Smart meters are proposed to calculate and record these data for security analysis and upload them to utility meter data management systems together with electricity consumption information. Thereafter, suspicious meters with abnormal higher CPU utilization rate could be singled out for further inspection based on statistical analysis of security data of meter of the same model.