Intrusion Detection System in Wireless Sensor Networks Using Machine Learning
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.
Authors
- Zainab Zainab (ORCID: https://orcid.org/0000-0002-8673-8561)
- Ahmed Al Al-Fatlawi
- Sajjad H. Hasan
- Hussein Akeel Hussein Alaasam
- Ahmed Ali Talib Al Khazaali
Publication Details
- Journal
- Journal of Intelligent Systems and Internet of Things
- Published
- 2024-10-24
- DOI
- https://doi.org/10.54216/jisiot.140203
- Citations
- 1
- Primary Topic
- Network Security and Intrusion Detection
- Type
- article
- Field-Weighted Citation Impact
- 0.35