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Zhenyu Cheng
Zhenyu Cheng
IIE CAS
在 iie.ac.cn 的电子邮件经过验证
标题
引用次数
引用次数
年份
Efficient malware originated traffic classification by using generative adversarial networks
Z Liu, S Li, Y Zhang, X Yun, Z Cheng
2020 IEEE symposium on computers and communications (ISCC), 1-7, 2020
172020
Detecting information theft based on mobile network flows for android users
Z Cheng, X Chen, Y Zhang, S Li, Y Sang
2017 International conference on networking, architecture, and storage (NAS …, 2017
172017
Trafficgcn: Mobile application encrypted traffic classification based on gcn
H Xu, S Li, Z Cheng, R Qin, J Xie, P Sun
GLOBECOM 2022-2022 IEEE Global Communications Conference, 891-896, 2022
72022
TCCN: A Network Traffic Classification and Detection Model Based on Capsule Network
Z Li, Y Sang, Z Cheng, T Zang, S Zhao, H Wang
ICC 2023-IEEE International Conference on Communications, 2319-2324, 2023
42023
LIFH: learning interactive features from HTTP payload using image reconstruction
J Geng, S Li, Y Zhang, Z Liu, Z Cheng
ICC 2021-IEEE International Conference on Communications, 1-6, 2021
42021
NetworkTrace: probabilistic relevant pattern recognition approach to attribution trace analysis
J Xu, X Yun, Y Zhang, Y Sang, Z Cheng
2017 IEEE Trustcom/BigDataSE/ICESS, 691-698, 2017
42017
GPMT: Generating practical malicious traffic based on adversarial attacks with little prior knowledge
P Sun, S Li, J Xie, H Xu, Z Cheng, R Yang
Computers & Security 130, 103257, 2023
32023
Effective Malicious URL Detection by Using Generative Adversarial Networks
J Geng, S Li, Z Liu, Z Cheng, L Fan
International Conference on Web Engineering, 341-356, 2022
32022
Antcom: An effective and efficient anti-tracking system with dynamic and asymmetric communication channel
C Tian, S Zhao, Z Cheng
Journal of Network and Computer Applications 218, 103700, 2023
22023
MTCD-Model: A Two-Layer Model for Malicious Traffic Classification and Detection Based on Hierarchical Feature Learning
Z Li, Z Cheng, T Zang, Y Li
2023 International Joint Conference on Neural Networks (IJCNN), 1-8, 2023
22023
VT-GAT: A Novel VPN Encrypted Traffic Classification Model Based on Graph Attention Neural Network
H Xu, S Li, Z Cheng, R Qin, J Xie, P Sun
International Conference on Collaborative Computing: Networking …, 2022
22022
MUI-defender: CNN-Driven, network flow-based information theft detection for mobile users
Z Cheng, X Chen, Y Zhang, S Li, J Xu
Collaborative Computing: Networking, Applications and Worksharing: 14th EAI …, 2019
22019
RAAM: A Restricted Adversarial Attack Model with Adding Perturbations to Traffic Features
P Sun, S Li, J Xie, H Xu, Z Cheng, R Qin
IFIP International Conference on ICT Systems Security and Privacy Protection …, 2022
12022
Community Discovery of Attribution Trace Based on Deep Learning Approach
J Xu, X Yun, Y Zhang, Z Cheng
Information and Communications Security: 20th International Conference …, 2018
12018
IMTCDF: A Multi-Module-Based Internet Malicious Traffic Classification and Detection Framework
Z Li, J Xu, Z Cheng, T Zang
2024 27th International Conference on Computer Supported Cooperative Work in …, 2024
2024
A Targeted Adversarial Attack Method for Multi-Classification Malicious Traffic Detection
P Sun, C Si, S Li, Z Cheng, S Zhao, Q Liu
ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and …, 2024
2024
MLMTD: A Multi-Layer Malicious Traffic Detection Model Based on Multi-Branch Octave Convolution and Attention Mechanism
Z Li, C Si, Z Cheng, S Zhao, Y Ding
ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and …, 2024
2024
HNOP: Attack Traffic Detection Based on Hierarchical Node Hopping Features of Packets
J Geng, Z Cheng, Z Liu, S Li, R Qin
International Conference on Computational Science, 431-444, 2022
2022
DITA-NCG: Detecting Information Theft Attack Based on Node Communication Graph
Z Cheng, X Yun, S Li, J Geng, R Qin, L Fan
International Conference on Computational Science, 345-359, 2022
2022
MURITE-Detector: Identifying User-Role in Information Theft Events of Mobile Network
Z Cheng, X Chen, Y Zhang, S Li, J Xu
2019 18th IEEE International Conference On Trust, Security And Privacy In …, 2019
2019
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