Assessing Model-free Anomaly Detection in Industrial Control Systems Against Generic Concealment Attacks-Reference-Cited by-同舟云学术

Assessing Model-free Anomaly Detection in Industrial Control Systems Against Generic Concealment Attacks

Published:2022-12-05 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 38th Annual Computer Security Applications Conference
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Author:

Erba Alessandro¹^ORCID,Tippenhauer Nils Ole²^ORCID

Affiliation:

1. CISPA Helmholtz Center for Information Security, Germany and Saarbrücken Graduate School of Computer Science, Saarland University, Germany

2. CISPA Helmholtz Center for Information Security, Germany

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3564625.3564633

Reference53 articles.

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4. Truth Will Out

5. Batadal attacks description [n.d.]. Batadal attacks description. https://www.batadal.net/images/Attacks_TrainingDataset2.png. Batadal attacks description [n.d.]. Batadal attacks description. https://www.batadal.net/images/Attacks_TrainingDataset2.png.

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2. SoK: Pragmatic Assessment of Machine Learning for Network Intrusion Detection;2023 IEEE 8th European Symposium on Security and Privacy (EuroS&P);2023-07

3. White-Box Concealment Attacks Against Anomaly Detectors for Cyber-Physical Systems;Detection of Intrusions and Malware, and Vulnerability Assessment;2023