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.