The Random Forest Based Detection of Shadowsock's Traffic
Author:
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/8046763/8047731/08048116.pdf?arnumber=8048116
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1. A Generalization-Enhanced Method for Encrypted Proxy Traffic Identification Based on Autoencoder;2024 2nd International Conference On Mobile Internet, Cloud Computing and Information Security (MICCIS);2024-04-19
2. Amoeba: Circumventing ML-supported Network Censorship via Adversarial Reinforcement Learning;Proceedings of the ACM on Networking;2023-11-27
3. SharpEye: Identify mKCP Camouflage Traffic through Feature Optimization;2023 IEEE 22nd International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom);2023-11-01
4. Identifying Mobile Application Over Shadowsocks with Single-Direction Traffic;2023 8th International Conference on Data Science in Cyberspace (DSC);2023-08-18
5. Website Fingerprinting on Encrypted Proxies: A Flow-Context-Aware Approach and Countermeasures;IEEE/ACM Transactions on Networking;2023
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