No Need to Know Physics: Resilience of Process-based Model-free Anomaly Detection for Industrial Control Systems

7 December 2020

Papers citing "No Need to Know Physics: Resilience of Process-based Model-free Anomaly Detection for Industrial Control Systems"

4 / 4 papers shown

Title
A False Sense of Security? Revisiting the State of Machine Learning-Based Industrial Intrusion Detection Dominik Kus Eric Wagner Jan Pennekamp Konrad Wolsing I. Fink Markus Dahlmanns Klaus Wehrle Martin Henze 26 24 0 18 May 2022
IPAL: Breaking up Silos of Protocol-dependent and Domain-specific Industrial Intrusion Detection Systems Konrad Wolsing Eric Wagner Antoine Saillard Martin Henze 21 31 0 05 Nov 2021
Grounds for Suspicion: Physics-based Early Warnings for Stealthy Attacks on Industrial Control Systems Mazen Azzam L. Pasquale G. Provan B. Nuseibeh 6 6 0 15 Jun 2021
Code Integrity Attestation for PLCs using Black Box Neural Network Predictions Yuqi Chen Christopher M. Poskitt Jun Sun AAML 28 9 0 15 Jun 2021