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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"

7 / 7 papers shown

Deployment Challenges of Industrial Intrusion Detection Systems

262

04 Mar 2024

SoK: Evaluations in Industrial Intrusion Detection ResearchJournal of Systems Research (JSR), 2023

282

06 Nov 2023

A False Sense of Security? Revisiting the State of Machine Learning-Based Industrial Intrusion Detection

185

18 May 2022

IPAL: Breaking up Silos of Protocol-dependent and Domain-specific Industrial Intrusion Detection SystemsInternational Symposium on Recent Advances in Intrusion Detection (RAID), 2021

313

05 Nov 2021

Grounds for Suspicion: Physics-based Early Warnings for Stealthy Attacks on Industrial Control Systems

280

15 Jun 2021

Code Integrity Attestation for PLCs using Black Box Neural Network Predictions

Yuqi Chen

Christopher M. Poskitt

Jun Sun

AAML

168

15 Jun 2021

Adversarial Attacks and Mitigation for Anomaly Detectors of Cyber-Physical Systems

Yifan Jia

Jingyi Wang

Christopher M. Poskitt

Sudipta Chattopadhyay

Jun Sun

Yuqi Chen

AAML

202

22 May 2021