Advancing iot security: integrative machine learning models for enhanced intrusion detection in wireless sensor networks

HIGHLIGHTS

• What: This study provides a novel intrusion detection solution and offers valuable insights into the application of ML in complex security settings. Recognizing these limitations, this research proposes EW-IDS, a novel framework that leverages cutting-edge Machine Learning (ML) techniques to revolutionize the detection and prevention of intrusions in WSNs. The aim of this study is to evaluate the performance of EW-IDS under various operational scenarios and compare its effectiveness with traditional IDS solutions. The review provided a valuable understanding of the current state of IDSs and identified potential research directions for further advancement in . . .
  

   

  

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