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Future power networks will be characterized by safe and reliablefunctionality against physical malfunctions and cyber attacks. This paperproposes a unified framework and advanced monitoring procedures to detect andidentify network components malfunction or measurements corruption caused by anomniscient adversary. We model a power system under cyber-physical attack as alinear time-invariant descriptor system with unknown inputs. Our attack modelgeneralizes the prototypical stealth, (dynamic) false-data injection and replayattacks. We characterize the fundamental limitations of both static and dynamicprocedures for attack detection and identification. Additionally, we designprovably-correct (dynamic) detection and identification procedures based ontools from geometric control theory. Finally, we illustrate the effectivenessof our method through a comparison with existing (static) detection algorithms,and through a numerical study.

Cyber-Physical Attacks in Power Networks: Models, Fundamental Limitations and Monitor Design