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

v1v2 (latest)

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

5 November 2021

Antoine Saillard

ArXiv (abs)PDF HTML

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

15 / 15 papers shown

Title
PowerDuck: A GOOSE Data Set of Cyberattacks in Substations Sven Zemanek Immanuel Hacker Konrad Wolsing Eric Wagner Martin Henze Martin Serror 62 10 0 11 Jul 2022
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 54 24 0 18 May 2022
Reproducible and Adaptable Log Data Generation for Sound Cybersecurity Experiments Rafael Uetz Christian Hemminghaus Louis Hackländer Philipp Schlipper Martin Henze 36 19 0 15 Nov 2021
Take a Bite of the Reality Sandwich: Revisiting the Security of Progressive Message Authentication Codes Eric Wagner Jan Bauer Martin Henze 54 12 0 15 Mar 2021
Resilient Machine Learning for Networked Cyber Physical Systems: A Survey for Machine Learning Security to Securing Machine Learning for CPS Felix O. Olowononi D. Rawat Chunmei Liu 65 134 0 14 Feb 2021
No Need to Know Physics: Resilience of Process-based Model-free Anomaly Detection for Industrial Control Systems Alessandro Erba Nils Ole Tippenhauer AAML 113 14 0 07 Dec 2020
Intrusion Detection in Binary Process Data: Introducing the Hamming-distance to Matrix Profiles S. D. Antón Hans D. Schotten 120 3 0 17 Jul 2020
Anomaly Detection for Industrial Control Systems Using Sequence-to-Sequence Neural Networks Jonguk Kim Jeong-Han Yun HyoungChun Kim 46 61 0 12 Nov 2019
Security in Process: Detecting Attacks in Industrial Process Data S. D. Antón A. Lohfink Christoph Garth Hans D. Schotten 35 12 0 09 Sep 2019
Anomaly-based Intrusion Detection in Industrial Data with SVM and Random Forests S. D. Antón Sapna Sinha Hans D. Schotten 126 81 0 24 Jul 2019
Detecting Cyberattacks in Industrial Control Systems Using Convolutional Neural Networks Moshe Kravchik A. Shabtai 64 274 0 21 Jun 2018
Learning from Mutants: Using Code Mutation to Learn and Monitor Invariants of a Cyber-Physical System Yuqi Chen Christopher M. Poskitt Jun Sun 52 123 0 03 Jan 2018
NoiSense: Detecting Data Integrity Attacks on Sensor Measurements using Hardware based Fingerprints Chuadhry Mujeeb Ahmed A. Mathur Martín Ochoa 18 35 0 05 Dec 2017
Anomaly Detection for a Water Treatment System Using Unsupervised Machine Learning Jun Inoue Yoriyuki Yamagata Yuqi Chen Christopher M. Poskitt Jun Sun 61 254 0 15 Sep 2017
Cyber-Physical Systems Security -- A Survey Abdulmalik Humayed Jingqiang Lin Fengjun Li Bo Luo 41 782 0 17 Jan 2017