Area of research
Computer Networks and Communications · Signal Processing
Research interest
Research interests include Computer science, Artificial intelligence, Malware, Intrusion detection system, Traffic classification, and Encryption.
GBADroid: an Android malware detection method based on multi-view feature fusion
AnGSL: Graph-Based Android Malware Detection Method
BGETC: An Encrypted Traffic Classification Method Based on BERT and GRU
An Encrypted Traffic Classification Approach Based on Path Signature Features and LSTM
BFCN: A Novel Classification Method of Encrypted Traffic Based on BERT and CNN
TGA: A Novel Network Intrusion Detection Method Based on TCN, BiGRU and Attention Mechanism
TSFN: A Novel Malicious Traffic Classification Method Using BERT and LSTM
An Android Malware Detection Approach to Enhance Node Feature Differences in a Function Call Graph Based on GCNs
CLDTLog: System Log Anomaly Detection Method Based on Contrastive Learning and Dual Objective Tasks
ETCNLog: A System Log Anomaly Detection Method Based on Efficient Channel Attention and Temporal Convolutional Network
Attention-Based BiLSTM For Malware Family Classification
LogLS: Research on System Log Anomaly Detection Method Based on Dual LSTM
Malcertificate: Research and Implementation of a Malicious Certificate Detection Algorithm Based on GCN
ICLSTM: Encrypted Traffic Service Identification Based on Inception-LSTM Neural Network
Android Malware Detection Using TCN with Bytecode Image
A Hybrid Analysis-Based Approach to Android Malware Family Classification
ConAnomaly: Content-Based Anomaly Detection for System Logs
Research on WebShell Detection Method Based on Regularized Neighborhood Component Analysis (RNCA)
SAAE-DNN: Deep Learning Method on Intrusion Detection
An Efficient Intrusion Detection Method Based on LightGBM and Autoencoder
WS-LSMR: Malicious WebShell Detection Algorithm Based on Ensemble Learning
WebShell Attack Detection Based on a Deep Super Learner
Webshell detection with byte-level features based on deep learning
A keyword-based combination approach for detecting phishing webpages
A Novel Hierarchical Clustering Algorithm Based on Density Peaks for Complex Datasets
A Distance and Density-Based Clustering Algorithm Using Automatic Peak Detection
Review on Certain Group Planning Domain of IPC
Multi-stage Attack Detection Algorithm Based on Hidden Markov Model