Machine Learning Methods for Anomaly Detection in Industrial Control Systems

Machine Learning Methods

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

Proceedings of the 6th ACM on Cyber-Physical System Security Workshop ◽

10.1145/3384941.3409588 ◽

2020 ◽

Cited By ~ 1

Author(s):

Chuadhry Mujeeb Ahmed ◽

Gauthama Raman M R ◽

Aditya P. Mathur

Keyword(s):

Machine Learning ◽

Anomaly Detection ◽

Control Systems ◽

Real Time ◽

Industrial Control ◽

Detecting cyberattacks using anomaly detection in industrial control systems: A Federated Learning approach

Computers in Industry ◽

10.1016/j.compind.2021.103509 ◽

2021 ◽

Vol 132 ◽

pp. 103509

Author(s):

Truong Thu Huong ◽

Ta Phuong Bac ◽

Dao Minh Long ◽

Tran Duc Luong ◽

Nguyen Minh Dan ◽

...

Keyword(s):

Anomaly Detection ◽

Control Systems ◽

Learning Approach ◽

Industrial Control ◽

DAICS: A Deep Learning Solution for Anomaly Detection in Industrial Control Systems

IEEE Transactions on Emerging Topics in Computing ◽

10.1109/tetc.2021.3073017 ◽

2021 ◽

pp. 1-1

Author(s):

Maged Fathy Abdelaty ◽

Roberto Doriguzzi Corin ◽

Domenico Siracusa

Keyword(s):

Deep Learning ◽

Anomaly Detection ◽

Control Systems ◽

Industrial Control ◽

Semi-supervised and Unsupervised Machine Learning Methods for Sea Traffic Anomaly Detection

10.15388/vu.thesis.179 ◽

2021 ◽

Author(s):

◽

Julius Venskus

Keyword(s):

Machine Learning ◽

Anomaly Detection ◽

Learning Methods ◽

Unsupervised Machine Learning ◽

Machine Learning Methods ◽

Traffic Anomaly ◽

Traffic Anomaly Detection

Research of Classical Machine Learning Methods and Deep Learning Models Effectiveness in Detecting Anomalies of Industrial Control System

2018 Global Smart Industry Conference (GloSIC) ◽

10.1109/glosic.2018.8570073 ◽

2018 ◽

Cited By ~ 1

Author(s):

Alexander N. Sokolov ◽

Ilya A. Pyatnitsky ◽

Sergei K. Alabugin

Keyword(s):

Machine Learning ◽

Deep Learning ◽

Control System ◽

Industrial Control System ◽

Learning Models ◽

Industrial Control ◽

Learning Methods ◽

Machine Learning Methods

AADS: A Noise-Robust Anomaly Detection Framework for Industrial Control Systems

Information and Communications Security - Lecture Notes in Computer Science ◽

10.1007/978-3-030-41579-2_4 ◽

2020 ◽

pp. 53-70

Author(s):

Maged Abdelaty ◽

Roberto Doriguzzi-Corin ◽

Domenico Siracusa

Keyword(s):

Anomaly Detection ◽

Control Systems ◽

Industrial Control ◽

Noise Robust

Machine Learning Methods for Anomaly Detection in IoT Networks, with Illustrations

Machine Learning for Networking - Lecture Notes in Computer Science ◽

10.1007/978-3-030-45778-5_19 ◽

2020 ◽

pp. 287-295

Author(s):

Vassia Bonandrini ◽

Jean-François Bercher ◽

Nawel Zangar

Keyword(s):

Machine Learning ◽

Anomaly Detection ◽

Learning Methods ◽

Machine Learning Methods

Evaluating Performance of Scalable Fair Clustering Machine Learning Techniques in Detecting Cyber Attacks in Industrial Control Systems

10.1007/978-3-030-74753-4_7 ◽

2022 ◽

pp. 105-116

Author(s):

Akansha Handa ◽

Prabhat Semwal

Keyword(s):

Machine Learning ◽

Control Systems ◽

Cyber Attacks ◽

Machine Learning Techniques ◽

Industrial Control ◽

Learning Techniques

Critical Information Infrastructures Security - Lecture Notes in Computer Science ◽

Super Detector: An Ensemble Approach for Anomaly Detection in Industrial Control Systems

10.1007/978-3-030-93200-8_2 ◽

2021 ◽

pp. 24-43

Author(s):

Madhumitha Balaji ◽

Siddhant Shrivastava ◽

Sridhar Adepu ◽

Aditya Mathur

Keyword(s):

Anomaly Detection ◽

Control Systems ◽

Industrial Control ◽

Ensemble Approach

Research on Improvement of Anomaly Detection Performance in Industrial Control Systems

10.1007/978-3-030-89432-0_7 ◽

2021 ◽

pp. 76-87

Author(s):

Sungho Bae ◽

Chanwoong Hwang ◽

Taejin Lee

Keyword(s):

Anomaly Detection ◽

Control Systems ◽

Detection Performance ◽

Industrial Control ◽