Detecting Cyberattacks in Industrial Control Systems Using Convolutional Neural Networks

21 June 2018

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

20 / 20 papers shown

Title
Adversarial Sample Generation for Anomaly Detection in Industrial Control Systems Abdul Mustafa Muhammad Talha Khan Muhammad Azmi Umer Zaki Masood Chuadhry Mujeeb Ahmed AAML 53 0 0 06 May 2025
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 19 0 0 03 May 2025
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 Mayra Alexandra Macas Carrasco Chunming Wu Walter Fuertes 23 1 0 03 May 2024
Evaluation Strategy of Time-series Anomaly Detection with Decay Function Yongwan Gim Kyushik Min 24 0 0 15 May 2023
Stealthy Perception-based Attacks on Unmanned Aerial Vehicles Amir Khazraei Haochen Meng Miroslav Pajic AAML 21 9 0 03 Mar 2023
Anomaly Detection in Cyber-Physical Systems: Reconstruction of a Prediction Error Feature Space Nuno Oliveira Norberto Sousa Jorge Oliveira Isabel Praça AI4CE 21 4 0 29 Dec 2021
IPAL: Breaking up Silos of Protocol-dependent and Domain-specific Industrial Intrusion Detection Systems Konrad Wolsing Eric Wagner Antoine Saillard Martin Henze 21 31 0 05 Nov 2021
Unsupervised Deep Anomaly Detection for Multi-Sensor Time-Series Signals Yu-xin Zhang Yiqiang Chen Jindong Wang Zhiwen Pan AI4TS 21 189 0 27 Jul 2021
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 E. Tufan C. Tezcan Cengiz Acartürk 26 29 0 31 Mar 2021
Poisoning Attacks on Cyber Attack Detectors for Industrial Control Systems Moshe Kravchik Battista Biggio A. Shabtai AAML 21 28 0 23 Dec 2020
Intrusion Detection in Binary Process Data: Introducing the Hamming-distance to Matrix Profiles S. D. Antón Hans D. Schotten 11 3 0 17 Jul 2020
Deep Learning-Based Anomaly Detection in Cyber-Physical Systems: Progress and Opportunities Yuan Luo Ya Xiao Long Cheng Guojun Peng D. Yao 32 160 0 30 Mar 2020
ConAML: Constrained Adversarial Machine Learning for Cyber-Physical Systems Jiangnan Li Yingyuan Yang Jinyuan Stella Sun K. Tomsovic Jin Young Lee AAML 28 52 0 12 Mar 2020
Anomaly Detection for Industrial Control Systems Using Sequence-to-Sequence Neural Networks Jonguk Kim Jeong-Han Yun HyoungChun Kim 11 61 0 12 Nov 2019
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 Moshe Kravchik A. Shabtai AAML 16 55 0 02 Jul 2019
Should I Raise The Red Flag? A comprehensive survey of anomaly scoring methods toward mitigating false alarms Zahra Zohrevand U. Glässer AAML 13 11 0 14 Apr 2019
Deep Learning for Anomaly Detection: A Survey Raghavendra Chalapathy Sanjay Chawla AI4TS 41 1,479 0 10 Jan 2019