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

Machine Learning Methods for Anomaly Detection in Industrial Control Systems

2020 IEEE International Conference on Big Data (Big Data) ◽

10.1109/bigdata50022.2020.9378018 ◽

2020 ◽

Author(s):

Johnathan Tai ◽

Izzat Alsmadi ◽

Yunpeng Zhang ◽

Fengxiang Qiao

Keyword(s):

Machine Learning ◽

Anomaly Detection ◽

Control Systems ◽

Industrial Control ◽

Learning Methods ◽

Machine Learning Methods

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 ◽

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

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 ◽

2019 IEEE 5th Intl Conference on Big Data Security on Cloud (BigDataSecurity), IEEE Intl Conference on High Performance and Smart Computing, (HPSC) and IEEE Intl Conference on Intelligent Data and Security (IDS) ◽

An Anomaly Detection Technique for Deception Attacks in Industrial Control Systems

10.1109/bigdatasecurity-hpsc-ids.2019.00057 ◽

2019 ◽

Author(s):

Q.S. Qassim ◽

A.R. Ahmad ◽

R. Ismail ◽

A. Abu Bakar ◽

F. Abdul Rahim ◽

...

Keyword(s):

Anomaly Detection ◽

Control Systems ◽

Detection Technique ◽

Industrial Control ◽

Evaluation of UML- real time profiles for Industrial Control Systems

2010 International Conference on Information and Emerging Technologies ◽

10.1109/iciet.2010.5625673 ◽

2010 ◽

Cited By ~ 2

Author(s):

Kamran Latif ◽

M. Abdul Basit Ur Rahim ◽

Abdul Rauf ◽

Aamer Nadeem

Keyword(s):

Control Systems ◽

Real Time ◽

Industrial Control ◽

Time Profiles

QoS enabled middleware for real-time industrial control systems

2013 IEEE 18th Conference on Emerging Technologies & Factory Automation (ETFA) ◽

10.1109/etfa.2013.6648074 ◽

2013 ◽

Author(s):

Luis Lino Ferreira ◽

Michele Albano ◽

Luis Miguel Pinho

Keyword(s):

Control Systems ◽

Real Time ◽

Industrial Control ◽