SteelEye: An Application-Layer Attack Detection and Attribution Model in Industrial Control Systems using Semi-Deep Learning

Detection And Attribution

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 ◽

Deep Learning Techniques to Detect DoS Attacks on Industrial Control Systems: A Systematic Literature Review

10.1145/3485557.3485577 ◽

2021 ◽

Author(s):

Abdalkarim R M Seyam ◽

Ali Bou Nassif ◽

Qassim Nasir ◽

Bushra Al Blooshi ◽

Manar Abu Talib

Keyword(s):

Deep Learning ◽

Literature Review ◽

Control Systems ◽

Systematic Literature Review ◽

Dos Attacks ◽

Industrial Control ◽

Learning Techniques

2020 25th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA) ◽

Optimization of Process-Aware Attack Detection for Industrial Control Systems Security

10.1109/etfa46521.2020.9211992 ◽

2020 ◽

Author(s):

Franck Sicard ◽

Estelle Hotellier ◽

Javier Soto Perez-Olivares ◽

Eric Zamai

Keyword(s):

Control Systems ◽

Attack Detection ◽

Industrial Control ◽

Systems Security

PRECYSE: Cyber-attack Detection and Response for Industrial Control Systems

10.14236/ewic/icscsr2014.9 ◽

2014 ◽

Author(s):

Kieran McLaughlin ◽

Sakir Sezer ◽

Paul R. Smith ◽

Zhendong Ma ◽

Florian Skopik

Keyword(s):

Control Systems ◽

Attack Detection ◽

Cyber Attack ◽

Industrial Control ◽

Hybrid Attack Detection Framework for Industrial Control Systems using 1D-Convolutional Neural Network and Isolation Forest

2020 IEEE Conference on Control Technology and Applications (CCTA) ◽

10.1109/ccta41146.2020.9206394 ◽

2020 ◽

Author(s):

Mariam Elnour ◽

Nader Meskin ◽

Khlaed M. Khan

Keyword(s):

Neural Network ◽

Convolutional Neural Network ◽

Control Systems ◽

Attack Detection ◽

Industrial Control ◽

Isolation Forest

Assessing the Effectiveness of Attack Detection at a Hackfest on Industrial Control Systems

IEEE Transactions on Sustainable Computing ◽

10.1109/tsusc.2018.2878597 ◽

2018 ◽

pp. 1-1 ◽

Cited By ~ 14

Author(s):

Sridhar Adepu ◽

Aditya Mathur

Keyword(s):

Control Systems ◽

Attack Detection ◽

Industrial Control ◽

Cyber attack detection and mitigation: Software Defined Survivable Industrial Control Systems

International Journal of Critical Infrastructure Protection ◽

10.1016/j.ijcip.2019.04.002 ◽

2019 ◽

Vol 25 ◽

pp. 152-168 ◽

Cited By ~ 4

Author(s):

Hunor Sándor ◽

Béla Genge ◽

Zoltán Szántó ◽

Lőrinc Márton ◽

Piroska Haller

Keyword(s):

Control Systems ◽

Attack Detection ◽

Cyber Attack ◽

Industrial Control ◽

2020 19th IEEE International Conference on Machine Learning and Applications (ICMLA) ◽

Deep Learning Based Covert Attack Identification for Industrial Control Systems

10.1109/icmla51294.2020.00075 ◽

2020 ◽

Author(s):

Dan Li ◽

Paritosh Ramanan ◽

Nagi Gebraeel ◽

Kamran Paynabar

Keyword(s):

Deep Learning ◽

Control Systems ◽

Industrial Control ◽

PRECYSE: Cyber-attack Detection and Response for Industrial Control Systems

2nd International Symposium for ICS & SCADA Cyber Security Research 2014 ◽

10.14236/ewic/ics-csr2014.10 ◽

2014 ◽

Cited By ~ 2

Author(s):

Kieran McLaughlin ◽

Sakir Sezer ◽

Paul Smith ◽

Zhendong Ma ◽

Florian Skopik

Keyword(s):

Control Systems ◽

Attack Detection ◽

Cyber Attack ◽

Industrial Control ◽

Critical Information Infrastructures Security - Lecture Notes in Computer Science ◽

Bank of Models: Sensor Attack Detection and Isolation in Industrial Control Systems

10.1007/978-3-030-93200-8_1 ◽

2021 ◽

pp. 3-23

Author(s):

Chuadhry Mujeeb Ahmed ◽

Jianying Zhou

Keyword(s):

Control Systems ◽

Attack Detection ◽

Industrial Control ◽