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