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April 23, 2026International Journal of Innovative Research in Technology0 citationsOpen Access

An Intelligent Intrusion Detection System for IoT Networks Using Machine Learning Techniques

SRShaik RizwanMKMohammad Dilshad KhanMKMohiuddin Ali Khan

Key Points

  • The aim is to develop an efficient intrusion detection system using machine learning for IoT networks.
  • Applied machine learning algorithms to assess intrusion detection effectiveness.
  • Evaluated system performance and accuracy in identifying intrusions.
  • Analyzed various attack vectors on IoT networks.
  • Machine learning techniques significantly improve detection rates.
  • The system effectively identifies diverse intrusion patterns.
  • Performance metrics indicated higher security compared to traditional methods.

Abstract

Explore the article titled An Intelligent Intrusion Detection System for IoT Networks Using Machine Learning Techniques from IJIRT Volume 12, Issue 11. This study evaluates the effectiveness of teaching programs on waste management knowledge among women.

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Cite This Study

Rizwan et al. (2026) studied this question.

synapsesocial.com/papers/69e9baa885696592c86ecb6chttps://doi.org/10.64643/ijirtv12i11-198571-459
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