Chameleon: Optimized feature selection using particle swarm optimization and ensemble methods for network anomaly detection

•An approach for efficient feature selection on networking and intrusion detection datasets, using swarm intelligence and ensemble methods.•The impact of feature selection on the performance of anomaly detection models using neural networks.•Improvement of deep learning anomaly detection performance on IDS benchmark datasets compared with state-of-the art approaches.