A Survey of Physics-Based Attack Detection in Cyber-Physical Systems

By Jairo Alonso Giraldo, David I. Urbina, Alvaro A. Cárdenas, Junia Valente, Mustafa Amir Faisal, Justin Ruths, Nils Ole Tippenhauer, Henrik Sandberg, Richard Candell. ACM Computing Surveys, 2018

458 citations recorded by the source corpus.

Monitoring the “physics” of cyber-physical systems to detect attacks is a growing area of research. In its basic form, a security monitor creates time-series models of sensor readings for an industrial control system and identifies anomalies in these measurements to identify potentially false control commands or false sensor readings. In this article, we review previous work on physics-based anomaly detection based on a unified taxonomy that allows us to identify limitations and unexplored challenges and to propose new solutions.

Subfields: Artificial Intelligence, Computer Networks and Communications, Control and Systems Engineering

View Paper: https://www.semanticscholar.org/paper/cf3861590d3800c754503a29d5585cfc271724b8