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June 19, 2026IET Information SecurityOpen Access

An Enhanced Approach for Intrusion Detection Modeling to Secure IoT Network by Using Big Data Analytics

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Authors

BABilal AhmadHJHuma JamshedMKMuhammad Ayoub Kamal

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Overview

Randomized trial evaluates IDS for IoT networks, indicating high performance in classification metrics.

Key Points

  • This research aims to propose an enhanced intrusion detection system (IDS) using big data analytics for securing IoT networks.
  • Used the BoT-IoT dataset for evaluation
  • Implemented random forest and decision tree algorithms for classification
  • Evaluated performance based on F1 measure
  • Random forest model achieved 98.6% F1 measure for binary classification
  • Decision tree performed with 96.4% overall classification accuracy
  • Categorical classification resulted in 74% accuracy

Cite This Study

Ahmad et al. (2026) studied this question.

synapsesocial.com/papers/6a34def565a5b0777af2e3c7https://doi.org/10.1049/ise2/1301034
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