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

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
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Intrusion Detection System in Wireless Sensor Networks Using Machine Learning

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1 citations
Journal of Intelligent Systems and Internet of Things
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article

Intrusion Detection System in Wireless Sensor Networks Using Machine Learning

Zainab Zainab, Ahmed Al Al-Fatlawi, Sajjad H. Hasan, Hussein Akeel Hussein Alaasam, Ahmed Ali Talib Al Khazaali
article en
1 citations

Abstract

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.

Journal of Intelligent Systems and Internet of ThingsVol. 14(2)
Openalex Percentile: Top 37%
Network Security and Intrusion Detection
0.35
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