Area of research
Computer Networks and Communications · Artificial Intelligence
Research interest
Research focused on Artificial intelligence and Convolutional neural network, with related work in Vulnerability (computing), Encryption, Pattern recognition (psychology). Notable publications include 'A novel detection model for abnormal network traffic based on bidirectional temporal convolutional network', 'TLS-MHSA: An Efficient Detection Model for Encrypted Malicious Traffic based on Multi-Head Self-Attention Mechanism', and 'An optimized feature extraction algorithm for abnormal network traffic detection'.
A novel detection model for abnormal network traffic based on bidirectional temporal convolutional network
TLS-MHSA: An Efficient Detection Model for Encrypted Malicious Traffic based on Multi-Head Self-Attention Mechanism
An optimized feature extraction algorithm for abnormal network traffic detection
An Efficient Network Intrusion Detection Model Based on Temporal Convolutional Networks
An Automatic Vulnerability Scanner for Web Applications