Reproduced Papers

A hybrid CNN-LSTM framework driven by XGBoost for real-time DDoS detection in industrial IoT

Lightweight intrusion detection system for IoT with improved feature engineering and advanced dynamic quantization

A feature-level ensemble machine learning approach for attack detection in IoT networks

Federated learning‑based hybrid convolutional recurrent neural network for multi‑class intrusion detection in IoT networks

Quantum deep learning-based anomaly detection for enhanced network security

DDoS attack detection and classification for the MQTT-IoT protocol using LSTM models

GSPB: a global-statistic and packet-byte fusion framework for encrypted traffic classification

A resource efficient IoT intrusion detection model using hybrid feature selection for edge computing

Self-defending 6G networks through AI-driven adaptive decoy generation at the edge