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