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Detecting Cyberattacks in Industrial Control Systems Using Convolutional
  Neural Networks

Detecting Cyberattacks in Industrial Control Systems Using Convolutional Neural Networks

21 June 2018
Moshe Kravchik
A. Shabtai
ArXivPDFHTML

Papers citing "Detecting Cyberattacks in Industrial Control Systems Using Convolutional Neural Networks"

16 / 16 papers shown
Title
Adversarial Sample Generation for Anomaly Detection in Industrial Control Systems
Adversarial Sample Generation for Anomaly Detection in Industrial Control Systems
Abdul Mustafa
Muhammad Talha Khan
Muhammad Azmi Umer
Zaki Masood
Chuadhry Mujeeb Ahmed
AAML
46
0
0
06 May 2025
Runtime Anomaly Detection for Drones: An Integrated Rule-Mining and Unsupervised-Learning Approach
Runtime Anomaly Detection for Drones: An Integrated Rule-Mining and Unsupervised-Learning Approach
Ivan Tan
Wei Minn
Christopher M. Poskitt
Lwin Khin Shar
Lingxiao Jiang
17
0
0
03 May 2025
MARS: Defending Unmanned Aerial Vehicles From Attacks on Inertial Sensors with Model-based Anomaly Detection and Recovery
MARS: Defending Unmanned Aerial Vehicles From Attacks on Inertial Sensors with Model-based Anomaly Detection and Recovery
Haocheng Meng
Shaocheng Luo
Zhenyuan Liang
Qing Huang
Amir Khazraei
Miroslav Pajic
AAML
26
0
0
02 May 2025
An Attention-Based Deep Generative Model for Anomaly Detection in
  Industrial Control Systems
An Attention-Based Deep Generative Model for Anomaly Detection in Industrial Control Systems
Mayra Alexandra Macas Carrasco
Chunming Wu
Walter Fuertes
16
1
0
03 May 2024
Evaluation Strategy of Time-series Anomaly Detection with Decay Function
Evaluation Strategy of Time-series Anomaly Detection with Decay Function
Yongwan Gim
Kyushik Min
16
0
0
15 May 2023
Anomaly Detection in Cyber-Physical Systems: Reconstruction of a
  Prediction Error Feature Space
Anomaly Detection in Cyber-Physical Systems: Reconstruction of a Prediction Error Feature Space
Nuno Oliveira
Norberto Sousa
Jorge Oliveira
Isabel Praça
AI4CE
13
4
0
29 Dec 2021
IPAL: Breaking up Silos of Protocol-dependent and Domain-specific
  Industrial Intrusion Detection Systems
IPAL: Breaking up Silos of Protocol-dependent and Domain-specific Industrial Intrusion Detection Systems
Konrad Wolsing
Eric Wagner
Antoine Saillard
Martin Henze
11
31
0
05 Nov 2021
Unsupervised Deep Anomaly Detection for Multi-Sensor Time-Series Signals
Unsupervised Deep Anomaly Detection for Multi-Sensor Time-Series Signals
Yu-xin Zhang
Yiqiang Chen
Jindong Wang
Zhiwen Pan
AI4TS
18
189
0
27 Jul 2021
Code Integrity Attestation for PLCs using Black Box Neural Network
  Predictions
Code Integrity Attestation for PLCs using Black Box Neural Network Predictions
Yuqi Chen
Christopher M. Poskitt
Jun Sun
AAML
20
9
0
15 Jun 2021
Anomaly-Based Intrusion Detection by Machine Learning: A Case Study on
  Probing Attacks to an Institutional Network
Anomaly-Based Intrusion Detection by Machine Learning: A Case Study on Probing Attacks to an Institutional Network
E. Tufan
C. Tezcan
Cengiz Acartürk
16
29
0
31 Mar 2021
Poisoning Attacks on Cyber Attack Detectors for Industrial Control
  Systems
Poisoning Attacks on Cyber Attack Detectors for Industrial Control Systems
Moshe Kravchik
Battista Biggio
A. Shabtai
AAML
13
28
0
23 Dec 2020
Deep Learning-Based Anomaly Detection in Cyber-Physical Systems:
  Progress and Opportunities
Deep Learning-Based Anomaly Detection in Cyber-Physical Systems: Progress and Opportunities
Yuan Luo
Ya Xiao
Long Cheng
Guojun Peng
D. Yao
19
160
0
30 Mar 2020
Anomaly Detection for Industrial Control Systems Using
  Sequence-to-Sequence Neural Networks
Anomaly Detection for Industrial Control Systems Using Sequence-to-Sequence Neural Networks
Jonguk Kim
Jeong-Han Yun
HyoungChun Kim
6
61
0
12 Nov 2019
Constrained Concealment Attacks against Reconstruction-based Anomaly
  Detectors in Industrial Control Systems
Constrained Concealment Attacks against Reconstruction-based Anomaly Detectors in Industrial Control Systems
Alessandro Erba
Riccardo Taormina
S. Galelli
Marcello Pogliani
Michele Carminati
S. Zanero
Nils Ole Tippenhauer
AAML
20
22
0
17 Jul 2019
Efficient Cyber Attacks Detection in Industrial Control Systems Using
  Lightweight Neural Networks and PCA
Efficient Cyber Attacks Detection in Industrial Control Systems Using Lightweight Neural Networks and PCA
Moshe Kravchik
A. Shabtai
AAML
11
55
0
02 Jul 2019
Should I Raise The Red Flag? A comprehensive survey of anomaly scoring
  methods toward mitigating false alarms
Should I Raise The Red Flag? A comprehensive survey of anomaly scoring methods toward mitigating false alarms
Zahra Zohrevand
U. Glässer
AAML
11
11
0
14 Apr 2019
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