A Method of Shadowsocks(R) Traffic Identification Based on Protocol Analysis

Author:

Luo Jie,Bao Liang,Ni Lvlin

Funder

Ministry of Public Security

Publisher

IEEE

Reference12 articles.

1. ACER: detecting Shadowsocks server based on active probe technology

2. Research on Traffic identification Based on Shadowsocks[D];he;Beijing Chinese People's Public Security University,2019

3. Shadowsocks redirection attack analysis;Digital Intelligence Security Research Institute,0

4. Revisiting Website Fingerprinting Attacks in Real-World Scenarios: A Case Study of Shadowsocks

5. Dynamic dictionary cracking user password and security password selection[j];zhang;Application Research of Computers,2020

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Cerberus: Efficient OSPS Traffic Identification through Multi-Task Learning;2023 IEEE 22nd International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom);2023-11-01

2. Detecting ShadowsocksR User Based on Intelligence of Cyber Entities;Security and Communication Networks;2022-08-24

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