Area of research
Software · Information Systems
Research interest
Research interests include Computer science, Artificial intelligence, Data mining, Vulnerability (computing), Convolutional neural network, and Metric (unit).
RAGN: Detecting unknown malicious network traffic using a robust adaptive graph neural network
GSA-DT: A Malicious Traffic Detection Model Based on Graph Self-Attention Network and Decision Tree
MTCR-AE: A Multiscale Temporal Convolutional Recurrent Autoencoder for unsupervised malicious network traffic detection
BiRNN-SA: Context-aware malicious network traffic detection using self-attentive bidirectional RNNs
Software Defect Prediction Approach Based on a Diversity Ensemble Combined With Neural Network
GCN-MHSA: A novel malicious traffic detection method based on graph convolutional neural network and multi-head self-attention mechanism
CDDA-MD: An efficient malicious traffic detection method based on concept drift detection and adaptation technique
DCM-GIFT: An Android malware dynamic classification method based on gray-scale image and feature-selection tree
Hybrid semantics-based vulnerability detection incorporating a Temporal Convolutional Network and Self-attention Mechanism
DELM: Deep Ensemble Learning Model for Anomaly Detection in Malicious Network Traffic-based Adaptive Feature Aggregation and Network Optimization
iGnnVD: A novel software vulnerability detection model based on integrated graph neural networks
MUT Model: a metric for characterizing metamorphic relations diversity
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
BiTCN_DRSN: An effective software vulnerability detection model based on an improved temporal convolutional network
CGSA-RNN: Abnormal Network Traffic Detection Model Based on CycleGAN and Self-Attention Mechanism
A software defect prediction method with metric compensation based on feature selection and transfer learning
A Review of Research on Privacy Protection of Internet of Vehicles Based on Blockchain
MWFP-outlier: Maximal weighted frequent-pattern-based approach for detecting outliers from uncertain weighted data streams
A Novel Test Case Generation Approach for Adaptive Random Testing of Object-Oriented Software Using K-Means Clustering Technique
An Approach Based on the Improved SVM Algorithm for Identifying Malware in Network Traffic
An Efficient Network Intrusion Detection Model Based on Temporal Convolutional Networks
MMFC-ART: a Fixed-size-Candidate-set Adaptive Random Testing approach based on the modified Metric-Memory tree
An empirical comparison of commercial and open‐source web vulnerability scanners
An automatic software vulnerability classification framework using term frequency-inverse gravity moment and feature selection
Regression test case prioritization by code combinations coverage
A memory-related vulnerability detection approach based on vulnerability features
An Automatic Vulnerability Scanner for Web Applications
Test case prioritization for object-oriented software: An adaptive random sequence approach based on clustering