aspg-18-3262-1792898105 20261025031505 American Scientific Publishing Group admin@americaspg.com American Scientific Publishing Group Journal of Intelligent Systems and Internet of Things JISIoT 2769-786X 2690-6791 2025 14 2 Zainab S. Idan Department of Computer Techniques Engineering, College of Technical Engineering, University of Alkafeel, Najaf, Iraq Ahmed Al-Fatlawi Department of Computer Techniques Engineering, College of Technical Engineering, University of Alkafeel, Najaf, Iraq Hussein Akeel Hussein Alaasam College of Basic Education, University of Kufa, Najaf, Iraq Sajjad H. Hasan Department of Computer Techniques Engineering, College of Technical Engineering, University of Alkafeel, Najaf, Iraq Ahmed Ali Talib Al Khazaali Electrical and Computer Engineering, Altinbas University, Istanbul, Turkey Current industrial control systems are increasingly integrating with corporate Internet technology networks in order to fully utilize the abundant resources available on the Internet. The growing connection between industrial control systems and the internet has made them a desirable choice. Industrial control systems are in need of significant protection due to being a common target for a range of cyber-attacks. The use of the Internet of Things is currently increasing across industries due to its efficiency, and the Internet of Things is facing a security challenge. This document gives an overview of the intrusion detection system and the methods of the intrusion detection system. The purpose of this document is to examine intrusion detection methods and present the best method based on studies. Experimental results show that this system uses a combination of machine learning methods for high performance. 2025 25 35 3262 https://creativecommons.org/licenses/by/4.0/ 10.54216/JISIoT.140203 https://americaspg.com/journal/18/article/3262 https://americaspg.com/storage/91729798546.pdf