Journal of Intelligent Systems and Internet of Things JISIoT 2690-6791 2769-786X 10.54216/JISIoT https://www.americaspg.com/journals/show/3262 2019 2019 Intrusion Detection System in Wireless Sensor Networks Using Machine Learning Department of Computer Techniques Engineering, College of Technical Engineering, University of Alkafeel, Najaf, Iraq Zainab Zainab Department of Computer Techniques Engineering, College of Technical Engineering, University of Alkafeel, Najaf, Iraq Ahmed Al Al-Fatlawi College of Basic Education, University of Kufa, Najaf, Iraq Hussein Akeel Hussein Alaasam Department of Computer Techniques Engineering, College of Technical Engineering, University of Alkafeel, Najaf, Iraq Sajjad H. Hasan Electrical and Computer Engineering, Altinbas University, Istanbul, Turkey Ahmed Ali Talib Al Khazaali 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 2025 25 35 10.54216/JISIoT.140203 https://www.americaspg.com/articleinfo/18/show/3262