A Collaborative Intrusion Detection Mechanism Against False Data Injection Attack in Advanced Metering Infrastructure

Abstract

Smart meters are inherent components in advanced metering infrastructure (AMI) in the smart power grid. They are serving as the crucial interfaces through which the cyber, physical, and social domains of the smart grid can interact with each other. Due to the complicated interactions, smart meters may face a large variety of threats. In this paper, we exploit the colored Petri net to describe the information flows among units in a smart meter. Then, we propose a threat model for smart meters. Considering the constrained computation and storage resources of a smart meter, we present a collaborative intrusion detection mechanism against false data injection attack. The proposed scheme can work regardless of changes in a smart meter's software. Numerical results demonstrate the low cost and effectiveness of our proposed intrusion detection mechanism.