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Zhenyu Cheng 0001
Person information
- affiliation: University of Chinese Academy of Sciences, Beijing, China
Other persons with the same name
- Zhenyu Cheng 0002 — University of Waterloo, Department of Biology, Waterloo, ON, Canada
- Zhenyu Cheng 0003 — University of Tokyo, Department of Electrical Engineering and Information Systems, Japan
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Journal Articles
- 2023
- [j2]Peishuai Sun, Shuhao Li, Jiang Xie, Hongbo Xu, Zhenyu Cheng, Rong Yang:
GPMT: Generating practical malicious traffic based on adversarial attacks with little prior knowledge. Comput. Secur. 130: 103257 (2023) - [j1]Changbo Tian, Shuyuan Zhao, Zhenyu Cheng:
AntCom: An effective and efficient anti-tracking system with dynamic and asymmetric communication channel. J. Netw. Comput. Appl. 218: 103700 (2023)
Conference and Workshop Papers
- 2024
- [c21]Ziang Li, Jie Xu, Zhenyu Cheng, Tianning Zang:
IMTCDF: A Multi-Module-Based Internet Malicious Traffic Classification and Detection Framework. CSCWD 2024: 582-587 - [c20]Hongbo Xu, Zhenyu Cheng, Shuhao Li, Chenxu Wang, Peishuai Sun, Jiang Xie, Qingyun Liu:
ProxyKiller: An Anonymous Proxy Traffic Attack Model Based on Traffic Behavior Graphs. ESORICS (2) 2024: 162-181 - [c19]Peishuai Sun, Chengxiang Si, Shuhao Li, Zhenyu Cheng, Shuyuan Zhao, Qingyun Liu:
A Targeted Adversarial Attack Method for Multi-Classification Malicious Traffic Detection. ICASSP 2024: 4765-4769 - [c18]Ziang Li, Chengxiang Si, Zhenyu Cheng, Shuyuan Zhao, Yong Ding:
MLMTD: A Multi-Layer Malicious Traffic Detection Model Based on Multi-Branch Octave Convolution and Attention Mechanism. ICASSP 2024: 4880-4884 - [c17]Ziang Li, Chengxiang Si, Zhenyu Cheng, Shuyuan Zhao, Yong Ding:
MTDM-MS: A Malicious Traffic Detection Model Based on Multi-Category Signals. ICME 2024: 1-6 - 2023
- [c16]Ziang Li, Yafei Sang, Zhenyu Cheng, Tianning Zang, Shuyuan Zhao, Han Wang:
TCCN: A Network Traffic Classification and Detection Model Based on Capsule Network. ICC 2023: 2319-2324 - [c15]Ziang Li, Zhenyu Cheng, Tianning Zang, Yijie Li:
MTCD-Model: A Two-Layer Model for Malicious Traffic Classification and Detection Based on Hierarchical Feature Learning. IJCNN 2023: 1-8 - 2022
- [c14]Hongbo Xu, Shuhao Li, Zhenyu Cheng, Rui Qin, Jiang Xie, Peishuai Sun:
VT-GAT: A Novel VPN Encrypted Traffic Classification Model Based on Graph Attention Neural Network. CollaborateCom (2) 2022: 437-456 - [c13]Hongbo Xu, Shuhao Li, Zhenyu Cheng, Rui Qin, Jiang Xie, Peishuai Sun:
TrafficGCN: Mobile Application Encrypted Traffic Classification Based on GCN. GLOBECOM 2022: 891-896 - [c12]Zhenyu Cheng, Xiaochun Yun, Shuhao Li, Jinbu Geng, Rui Qin, Li Fan:
DITA-NCG: Detecting Information Theft Attack Based on Node Communication Graph. ICCS (1) 2022: 345-359 - [c11]Jinbu Geng, Zhenyu Cheng, Zhicheng Liu, Shuhao Li, Rui Qin:
HNOP: Attack Traffic Detection Based on Hierarchical Node Hopping Features of Packets. ICCS (1) 2022: 431-444 - [c10]Jinbu Geng, Shuhao Li, Zhicheng Liu, Zhenyu Cheng, Li Fan:
Effective Malicious URL Detection by Using Generative Adversarial Networks. ICWE 2022: 341-356 - [c9]Peishuai Sun, Shuhao Li, Jiang Xie, Hongbo Xu, Zhenyu Cheng, Rui Qin:
RAAM: A Restricted Adversarial Attack Model with Adding Perturbations to Traffic Features. SEC 2022: 126-141 - 2021
- [c8]Jinbu Geng, Shuhao Li, Yongzheng Zhang, Zhicheng Liu, Zhenyu Cheng:
LIFH: Learning Interactive Features from HTTP Payload using Image Reconstruction. ICC 2021: 1-6 - 2020
- [c7]Zhicheng Liu, Shuhao Li, Yongzheng Zhang, Xiaochun Yun, Zhenyu Cheng:
Efficient Malware Originated Traffic Classification by Using Generative Adversarial Networks. ISCC 2020: 1-7 - 2019
- [c6]Zhenyu Cheng, Xunxun Chen, Yongzheng Zhang, Shuhao Li, Jian Xu:
MURITE-Detector: Identifying User-Role in Information Theft Events of Mobile Network. TrustCom/BigDataSE 2019: 232-239 - 2018
- [c5]Jian Xu, Xiaochun Yun, Yongzheng Zhang, Zhenyu Cheng:
Important Member Discovery of Attribution Trace Based on Relevant Circle (Short Paper). CollaborateCom 2018: 222-232 - [c4]Zhenyu Cheng, Xunxun Chen, Yongzheng Zhang, Shuhao Li, Jian Xu:
MUI-defender: CNN-Driven, Network Flow-Based Information Theft Detection for Mobile Users. CollaborateCom 2018: 329-345 - [c3]Jian Xu, Xiaochun Yun, Yongzheng Zhang, Zhenyu Cheng:
Community Discovery of Attribution Trace Based on Deep Learning Approach. ICICS 2018: 342-357 - 2017
- [c2]Zhenyu Cheng, Xunxun Chen, Yongzheng Zhang, Shuhao Li, Yafei Sang:
Detecting Information Theft Based on Mobile Network Flows for Android Users. NAS 2017: 1-10 - [c1]Jian Xu, Xiaochun Yun, Yongzheng Zhang, Yafei Sang, Zhenyu Cheng:
NetworkTrace: Probabilistic Relevant Pattern Recognition Approach to Attribution Trace Analysis. TrustCom/BigDataSE/ICESS 2017: 691-698
Coauthor Index
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