Cyber–physical risk assessment for false data injection attacks considering moving target defences

Abstract In this paper, we examine the factors that influence success of false data injection (FDI) attacks in context both cyber and physical styles reinforcement. Existing research considers FDI attack ability to change a measurement static system only. However, successful will require first intrusion into followed by construction an vector can bypass bad detection cause consequence (such as overloading). Furthermore, recent development moving target defences (MTD) introduces dynamically changing topology, which is beyond capability existing assess. way, develop full service framework for risk assessment. The costs via weighted graph assessment combination with physical, line overload-based vulnerability under existence MTD. We present our simulations on IEEE 14-bus overlain RTU network model true intrusion. multiple methods entry including meter intrusion, combined style attacks. Post-intrusion, reinforcement analyses required level topology divergence protect against branch overload from optimised vector. index used represent FDIA.