Real-Time Detection of Hybrid and Stealthy Cyber-Attacks in Smart Grid
This addresses the critical need for robust security in smart grids against sophisticated attackers, though it appears incremental with added countermeasures.
The paper tackles the problem of detecting hybrid and stealthy cyber-attacks in smart grids, proposing an online detection algorithm that provides quick and reliable responses, as demonstrated in numerical studies.
For a safe and reliable operation of the smart grid, timely detection of cyber-attacks is of critical importance. Moreover, considering smarter and more capable attackers, robust detection mechanisms are needed against a diverse range of cyber-attacks. With these purposes, we propose a robust online detection algorithm for (possibly combined) false data injection (FDI) and jamming attacks, that also provides online estimates of the unknown and time-varying attack parameters and recovered state estimates. Further, considering smarter attackers that are capable of designing stealthy attacks to prevent the detection or to increase the detection delay of the proposed algorithm, we propose additional countermeasures. Numerical studies illustrate the quick and reliable response of the proposed detection mechanisms against hybrid and stealthy cyber-attacks.