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H. Talabani

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Aug 2026

An Effective Hierarchical Anomaly Based Intrusion Detection System for IoT Using Ant Colony Optimization Based Feature Selection

This study proposes a feature selection approach based on Ant Colony Optimization (ACO) to identify the most relevant features for anomaly-based intrusion detection system (IDS) and reduces the feature set to 10 from the original datasets while achieving 100% detection accuracy and minimal training and detection times.

H. Talabani, Zrar Khalid Abdul, Hardi Mohammed Mohammed Saleh · 0 citations

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