IPAL: Breaking up Silos of Protocol-dependent and Domain-specific Industrial Intrusion Detection Systems-Reference-Cited by-同舟云学术

IPAL: Breaking up Silos of Protocol-dependent and Domain-specific Industrial Intrusion Detection Systems

Published:2022-10-26 Issue: Volume: Page:
ISSN:
Container-title:25th International Symposium on Research in Attacks, Intrusions and Defenses
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Author:

Wolsing Konrad¹,Wagner Eric¹,Saillard Antoine²,Henze Martin²

Affiliation:

1. Fraunhofer FKIE, Germany and RWTH Aachen University, Germany

2. RWTH Aachen University, Germany and Fraunhofer FKIE, Germany

Funder

Deutsche Forschungsgemeinschaft

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3545948.3545968

Reference140 articles.

1. Maged Abdelaty , Roberto Doriguzzi-Corin , and Domenico Siracusa . 2020 . AADS: A Noise-Robust Anomaly Detection Framework for Industrial Control Systems. In Information and Communications Security. Maged Abdelaty, Roberto Doriguzzi-Corin, and Domenico Siracusa. 2020. AADS: A Noise-Robust Anomaly Detection Framework for Industrial Control Systems. In Information and Communications Security.

2. Distributed Detection of Single-Stage Multipoint Cyber Attacks in a Water Treatment Plant

3. CORGIDS

4. NoiSense Print: Detecting Data Integrity Attacks on Sensor Measurements Using Hardware-Based Fingerprints;Ahmed Chuadhry Mujeeb;ACM Trans. Priv. Secur.,2020

5. Challenges in Machine Learning based approaches for Real-Time Anomaly Detection in Industrial Control Systems

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