Fog-Based Distributed Intrusion Detection System Against False Metering Attacks in Smart Grid

In order to secure smart metering infrastructure against false data injection attacks in smart grid, we propose in this paper a new hierarchical and distributed intrusion detection system (HD-IDS). The proposed HD-IDS is based on distributed Fog architecture using three hierarchical network levels (i.e., home area network, residential area network, and Fog operation center network). At each network level, we implement an IDS; thus, the system ensures three protection and detection levels. The problem is modeled using stochastic Markov chain process illustrating the transitions between different smart meter states. The advantage of the proposed HD-IDS solution is proved using extensive simulations over different performance metrics and compared with centralized architectures. The implementation is based on real-word traces of electricity consumption of the city of Toronto.