Attack Detection and Identification in Cyber-Physical Systems -- Part I: Models and Fundamental Limitations
Fabio Pasqualetti, Florian D\"orfler, and Francesco Bullo

TL;DR
This paper develops a unified linear descriptor system framework to analyze the fundamental detection and identification limitations of cyber-physical systems against omniscient attacks, providing algebraic and graph-theoretic conditions.
Contribution
It introduces a comprehensive model capturing various attack types and characterizes the fundamental detection and identification limits using algebraic and graph-theoretic methods.
Findings
Characterization of undetectable and unidentifiable attacks
Algebraic conditions for attack detection and identification
Graph-theoretic conditions based on system interconnection structure
Abstract
Cyber-physical systems integrate computation, communication, and physical capabilities to interact with the physical world and humans. Besides failures of components, cyber-physical systems are prone to malignant attacks, and specific analysis tools as well as monitoring mechanisms need to be developed to enforce system security and reliability. This paper proposes a unified framework to analyze the resilience of cyber-physical systems against attacks cast by an omniscient adversary. We model cyber-physical systems as linear descriptor systems, and attacks as exogenous unknown inputs. Despite its simplicity, our model captures various real-world cyber-physical systems, and it includes and generalizes many prototypical attacks, including stealth, (dynamic) false-data injection and replay attacks. First, we characterize fundamental limitations of static, dynamic, and active monitors for…
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Taxonomy
TopicsSmart Grid Security and Resilience · Network Security and Intrusion Detection · Radiation Effects in Electronics
