Towards unknown traffic identification via embeddings and deep autoencoders S Zhao, Y Zhang, Y Sang 2019 26th International Conference on Telecommunications (ICT), 85-89, 2019 | 23 | 2019 |
Towards unknown traffic identification using deep auto-encoder and constrained clustering Y Zhang, S Zhao, Y Sang Computational Science–ICCS 2019: 19th International Conference, Faro …, 2019 | 17 | 2019 |
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 | 17 | 2017 |
ProDigger: Towards Robust Automatic Network Protocol Fingerprint Learning via Byte Embedding Y Sang, S Li, Y Zhang, T Xu Trustcom/BigDataSE/I SPA, 2016 IEEE, 284-291, 2016 | 7 | 2016 |
Let model keep evolving: Incremental learning for encrypted traffic classification X Li, J Xie, Q Song, Y Sang, Y Zhang, S Li, T Zang Computers & Security 137, 103624, 2024 | 5 | 2024 |
MGEL: a robust malware encrypted traffic detection method based on ensemble learning with multi-grained features J Guo, Y Sang, P Chang, X Xu, Y Zhang International Conference on Computational Science, 195-208, 2021 | 5 | 2021 |
A segmentation pattern based approach to automated protocol identification Y Sang, Y Zhang, Y Wang, Y Zhou, X Tao 2014 15th International Conference on Parallel and Distributed Computing …, 2014 | 5 | 2014 |
Toward IoT device fingerprinting from proprietary protocol traffic via key-blocks aware approach Y Sang, J Yang, Y Zhang, S Li, P Chang Computers & Security 131, 103145, 2023 | 4 | 2023 |
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 | 4 | 2023 |
IncreAIBMF: Incremental Learning for Encrypted Mobile Application Identification Y Sang, M Tian, Y Zhang, P Chang, S Zhao Algorithms and Architectures for Parallel Processing: 20th International …, 2020 | 4 | 2020 |
Mobile application identification over https traffic based on multi-view features M Tian, P Chang, Y Sang, Y Zhang, S Li 2019 26th International Conference on Telecommunications (ICT), 73-79, 2019 | 4 | 2019 |
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 | 4 | 2017 |
Listen to Minority: Encrypted Traffic Classification for Class Imbalance with Contrastive Pre-Training X Li, J Guo, Q Song, J Xie, Y Sang, S Zhao, Y Zhang 2023 20th Annual IEEE International Conference on Sensing, Communication …, 2023 | 3 | 2023 |
A longitudinal Measurement and Analysis Study of Mozi, an Evolving P2P IoT Botnet B Wang, Y Sang, Y Zhang, S Li, X Xu 2022 IEEE International Conference on Trust, Security and Privacy in …, 2022 | 3 | 2022 |
An adaptive ensembled neural network-based approach to iot device identification J Ma, Y Sang, Y Zhang, X Xu, B Feng, Y Zeng International Conference on Collaborative Computing: Networking …, 2022 | 3 | 2022 |
A hybrid monitoring mechanism in virtualized environments Y Han, Z Hao, L Cui, C Wang, Y Sang 2016 IEEE Trustcom/BigDataSE/ISPA, 1038-1045, 2016 | 3 | 2016 |
Fingerprinting protocol at bit-level granularity: A graph-based approach using cell embedding Y Sang, Y Zhang 2017 IEEE 23rd International Conference on Parallel and Distributed Systems …, 2017 | 2 | 2017 |
ProNet: Toward Payload-driven Protocol Fingerprinting via Convolutions and Embeddings Y Sang, Y Zhang, C Peng EAI CollaborateCom-2017, 2017 | 2 | 2017 |
SepBIN: Binary Feature Separation for Better Semantic Comparison and Authorship Verification Q Song, Y Sang, Y Zhang, S Li, X Xu IEEE Transactions on Information Forensics and Security 19, 1372-1387, 2023 | 1 | 2023 |
ACS: An efficient messaging system with strong tracking-resistance Z Nan, C Tian, Y Sang, G Zhao International Conference on Collaborative Computing: Networking …, 2022 | 1 | 2022 |