Detecting Information Theft Based on Mobile Network Flows for Android Users. - Zhenyu Cheng 001; Xunxun Chen; Yongzheng Zhang 002; Shuhao Li; Yafei Sang (NAS, 2017)

NetworkTrace: Probabilistic Relevant Pattern Recognition Approach to Attribution Trace Analysis. - Jian Xu 010; Xiaochun Yun; Yongzheng Zhang 002; Yafei Sang; Zhenyu Cheng 001 (TrustCom/BigDataSE/ICESS, 2017)

Important Member Discovery of Attribution Trace Based on Relevant Circle (Short Paper). - Jian Xu 010; Xiaochun Yun; Yongzheng Zhang 002; Zhenyu Cheng 001 (CollaborateCom, 2018)

MUI-defender: CNN-Driven, Network Flow-Based Information Theft Detection for Mobile Users. - Zhenyu Cheng 001; Xunxun Chen; Yongzheng Zhang 002; Shuhao Li; Jian Xu 010 (CollaborateCom, 2018)

Community Discovery of Attribution Trace Based on Deep Learning Approach. - Jian Xu 010; Xiaochun Yun; Yongzheng Zhang 002; Zhenyu Cheng 001 (ICICS, 2018)

MURITE-Detector: Identifying User-Role in Information Theft Events of Mobile Network. - Zhenyu Cheng 001; Xunxun Chen; Yongzheng Zhang 002; Shuhao Li; Jian Xu 010 (TrustCom/BigDataSE, 2019)

Efficient Malware Originated Traffic Classification by Using Generative Adversarial Networks. - Zhicheng Liu; Shuhao Li; Yongzheng Zhang 002; Xiaochun Yun; Zhenyu Cheng 001 (ISCC, 2020)

LIFH: Learning Interactive Features from HTTP Payload using Image Reconstruction. - Jinbu Geng; Shuhao Li; Yongzheng Zhang 002; Zhicheng Liu; Zhenyu Cheng 001 (ICC, 2021)

VT-GAT: A Novel VPN Encrypted Traffic Classification Model Based on Graph Attention Neural Network. - Hongbo Xu; Shuhao Li; Zhenyu Cheng 001; Rui Qin; Jiang Xie 004; Peishuai Sun (CollaborateCom (2), 2022)

TrafficGCN: Mobile Application Encrypted Traffic Classification Based on GCN. - Hongbo Xu; Shuhao Li; Zhenyu Cheng 001; Rui Qin; Jiang Xie 004; Peishuai Sun (GLOBECOM, 2022)

DITA-NCG: Detecting Information Theft Attack Based on Node Communication Graph. - Zhenyu Cheng 001; Xiaochun Yun; Shuhao Li; Jinbu Geng; Rui Qin; Li Fan (ICCS (1), 2022)

HNOP: Attack Traffic Detection Based on Hierarchical Node Hopping Features of Packets. - Jinbu Geng; Zhenyu Cheng 001; Zhicheng Liu; Shuhao Li; Rui Qin (ICCS (1), 2022)

Effective Malicious URL Detection by Using Generative Adversarial Networks. - Jinbu Geng; Shuhao Li; Zhicheng Liu; Zhenyu Cheng 001; Li Fan (ICWE, 2022)

RAAM: A Restricted Adversarial Attack Model with Adding Perturbations to Traffic Features. - Peishuai Sun; Shuhao Li; Jiang Xie 004; Hongbo Xu; Zhenyu Cheng 001; Rui Qin (SEC, 2022)

TCCN: A Network Traffic Classification and Detection Model Based on Capsule Network. - Ziang Li; Yafei Sang; Zhenyu Cheng 001; Tianning Zang; Shuyuan Zhao; Han Wang (ICC, 2023)

MTCD-Model: A Two-Layer Model for Malicious Traffic Classification and Detection Based on Hierarchical Feature Learning. - Ziang Li; Zhenyu Cheng 001; Tianning Zang; Yijie Li (IJCNN, 2023)

GPMT: Generating practical malicious traffic based on adversarial attacks with little prior knowledge. - Peishuai Sun; Shuhao Li; Jiang Xie 004; Hongbo Xu; Zhenyu Cheng 001; Rong Yang (Comput. Secur., 2023)

AntCom: An effective and efficient anti-tracking system with dynamic and asymmetric communication channel. - Changbo Tian; Shuyuan Zhao; Zhenyu Cheng 001 (J. Netw. Comput. Appl., 2023)

IMTCDF: A Multi-Module-Based Internet Malicious Traffic Classification and Detection Framework. - Ziang Li; Jie Xu; Zhenyu Cheng 001; Tianning Zang (CSCWD, 2024)

ProxyKiller: An Anonymous Proxy Traffic Attack Model Based on Traffic Behavior Graphs. - Hongbo Xu; Zhenyu Cheng 001; Shuhao Li; Chenxu Wang; Peishuai Sun; Jiang Xie 004; Qingyun Liu 001 (ESORICS (2), 2024)

MLMTD: A Multi-Layer Malicious Traffic Detection Model Based on Multi-Branch Octave Convolution and Attention Mechanism. - Ziang Li; Chengxiang Si; Zhenyu Cheng 001; Shuyuan Zhao; Yong Ding (ICASSP, 2024)

A Targeted Adversarial Attack Method for Multi-Classification Malicious Traffic Detection. - Peishuai Sun; Chengxiang Si; Shuhao Li; Zhenyu Cheng 001; Shuyuan Zhao; Qingyun Liu 001 (ICASSP, 2024)

MTDM-MS: A Malicious Traffic Detection Model Based on Multi-Category Signals. - Ziang Li; Chengxiang Si; Zhenyu Cheng 001; Shuyuan Zhao; Yong Ding (ICME, 2024)

FlowMiner: A Powerful Model Based on Flow Correlation Mining for Encrypted Traffic Classification. - Hongbo Xu; Chengxiang Si; Shuhao Li; Zhenyu Cheng 001; Chenxu Wang; Jiang Xie 004; Peishuai Sun; Qingyun Liu 001 (INFOCOM, 2025)