Industrial datasets with ICS testbed and attack detection using machine learning techniques

• Main Authors: Mubarak, Sinil, Habaebi, Mohamed Hadi, Islam, Md. Rafiqul, Balla, Asaad, Tahir, Mohammad, Elsheikh, Elfatih A. A., Suliman, F. M.
• Format: Article
• Language: English; English
• Published: Tech Science Press 2021
• Subjects: TK Electrical engineering. Electronics Nuclear engineering; TK7800 Electronics. Computer engineering. Computer hardware. Photoelectronic devices
• Online Access: http://irep.iium.edu.my/92973/3/92973_Industrial%20datasets%20with%20ICS.pdf; http://irep.iium.edu.my/92973/5/92973_%20Industrial%20datasets%20with%20ICS%20testbed_Scopus.pdf; http://irep.iium.edu.my/92973/; https://www.techscience.com/iasc/v31n3/44856

Industrial control systems (ICS) are the backbone for the implementation of cybersecurity solutions. They are susceptible to various attacks, due to openness in connectivity, unauthorized attempts, malicious attacks, use of more commercial off the shelf (COTS) software and hardware, and implementati...