Area of research
Computer Networks and Communications · Signal Processing
Research interest
Research interests include Computer science, Artificial intelligence, Anomaly detection, Data mining, Blockchain, and Internet privacy.
MTCR-AE: A Multiscale Temporal Convolutional Recurrent Autoencoder for unsupervised malicious network traffic detection
CD-BTMSE: A Concept Drift detection model based on Bidirectional Temporal Convolutional Network and Multi-Stacking Ensemble learning
ASRL: Adaptive Swarm Reinforcement Learning for Enhanced OSN Intrusion Detection
DELM: Deep Ensemble Learning Model for Anomaly Detection in Malicious Network Traffic-based Adaptive Feature Aggregation and Network Optimization
RecGuard: An efficient privacy preservation blockchain-based system for online social network users
MWFP-outlier: Maximal weighted frequent-pattern-based approach for detecting outliers from uncertain weighted data streams