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IPAL: Breaking up Silos of Protocol-dependent and Domain-specific Industrial Intrusion Detection Systems
5 November 2021
Konrad Wolsing
Eric Wagner
Antoine Saillard
Martin Henze
Re-assign community
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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
20
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
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