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Journal of Intelligent Systems and Internet of Things

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https://doi.org/10.54216/JISIoT

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Journal of Intelligent Systems and Internet of Things

Volume 14 , Issue 2 , PP: 25-35, 2025 | Cite this article as | XML | Html | PDF | Full Length Article

Intrusion Detection System in Wireless Sensor Networks Using Machine Learning

Zainab S. Idan 1 * , Ahmed Al-Fatlawi 2 , Hussein Akeel Hussein Alaasam 3 , Sajjad H. Hasan 4 , Ahmed Ali Talib Al Khazaali 5

  • 1 Department of Computer Techniques Engineering, College of Technical Engineering, University of Alkafeel, Najaf, Iraq - (zainabsabah@alkafeel.edu.iq)
  • 2 Department of Computer Techniques Engineering, College of Technical Engineering, University of Alkafeel, Najaf, Iraq - (ahmed.fatlawi@alkafeel.edu.iq)
  • 3 College of Basic Education, University of Kufa, Najaf, Iraq - (hussaina.alaasam@uokufa.edu.iq)
  • 4 Department of Computer Techniques Engineering, College of Technical Engineering, University of Alkafeel, Najaf, Iraq - (sajad.hadi@alkafeel.edu.iq)
  • 5 Electrical and Computer Engineering, Altinbas University, Istanbul, Turkey - (ahmed.al-khazaali@ogr.altinbas.edu.tr)

    • Doi: https://doi.org/10.54216/JISIoT.140203

    Received: March 07, 2024 Revised: June 12, 2024 Accepted: October 04, 2024
    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.

    Keywords :

    Intrusion Detection System , Machine Learning , Wireless Sensor Networks , Internet of Things , Data Mining

    References

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    Cite This Article As :
    S., Zainab. , Al-Fatlawi, Ahmed. , Akeel, Hussein. , H., Sajjad. , Ali, Ahmed. Intrusion Detection System in Wireless Sensor Networks Using Machine Learning. Journal of Intelligent Systems and Internet of Things, vol. , no. , 2025, pp. 25-35. DOI: https://doi.org/10.54216/JISIoT.140203
    S., Z. Al-Fatlawi, A. Akeel, H. H., S. Ali, A. (2025). Intrusion Detection System in Wireless Sensor Networks Using Machine Learning. Journal of Intelligent Systems and Internet of Things, (), 25-35. DOI: https://doi.org/10.54216/JISIoT.140203
    S., Zainab. Al-Fatlawi, Ahmed. Akeel, Hussein. H., Sajjad. Ali, Ahmed. Intrusion Detection System in Wireless Sensor Networks Using Machine Learning. Journal of Intelligent Systems and Internet of Things , no. (2025): 25-35. DOI: https://doi.org/10.54216/JISIoT.140203
    S., Z. , Al-Fatlawi, A. , Akeel, H. , H., S. , Ali, A. (2025) . Intrusion Detection System in Wireless Sensor Networks Using Machine Learning. Journal of Intelligent Systems and Internet of Things , () , 25-35 . DOI: https://doi.org/10.54216/JISIoT.140203
    S. Z. , Al-Fatlawi A. , Akeel H. , H. S. , Ali A. [2025]. Intrusion Detection System in Wireless Sensor Networks Using Machine Learning. Journal of Intelligent Systems and Internet of Things. (): 25-35. DOI: https://doi.org/10.54216/JISIoT.140203
    S., Z. Al-Fatlawi, A. Akeel, H. H., S. Ali, A. "Intrusion Detection System in Wireless Sensor Networks Using Machine Learning," Journal of Intelligent Systems and Internet of Things, vol. , no. , pp. 25-35, 2025. DOI: https://doi.org/10.54216/JISIoT.140203

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