ICS cyber attack detection with ensemble machine learning and DPI using cyber-Kit datasets

• Main Authors: Mubarak, Sinil, Habaebi, Mohamed Hadi, Islam, Md. Rafiqul, Khan, Sheroz
• Format: Conference or Workshop Item
• Language: English; English; English
• Published: IEEE 2021
• Subjects: TK Electrical engineering. Electronics Nuclear engineering
• Online Access: http://irep.iium.edu.my/90597/7/90597_ICS%20Cyber%20Attack%20Detection%20with%20Ensemble%20Machine_schedule.pdf; http://irep.iium.edu.my/90597/13/90597_ICS%20Cyber%20Attack%20Detection%20with%20Ensemble%20Machine%20Learning%20and%20DPI%20using%20Cyber-kit%20Datasets_Scopus.pdf; http://irep.iium.edu.my/90597/14/90597_ICS%20Cyber%20Attack%20Detection%20with%20Ensemble%20Machine%20Learning.pdf; http://irep.iium.edu.my/90597/; https://ieeexplore-ieee-org.ezlib.iium.edu.my/document/9467162
• Institution: Universiti Islam Antarabangsa Malaysia

Digitization has pioneered to drive exceptional changes across all industries in the advancement of analytics, automation, and Artificial Intelligence (AI) and Machine Learning (ML). However, new business requirements associated with the efficiency benefits of digital...