ProxyKiller: An Anonymous Proxy Traffic Attack Model Based on Traffic Behavior Graphs

Hongbo Xu, Zhenyu Cheng, Shuhao Li, Chenxu Wang, Peishuai Sun, Jiang Xie, Qingyun Liu

Abstract: As common tools for evading censorship and protecting privacy, anonymous proxies are widely favored for their lightweight and easy deployment. In recent years, anonymous proxies have continually evolved regarding traffic obfuscation and masking strategies. Due to the lack of design targeting the connection behavior features of different proxy flows, current methods for proxy traffic identification often suffer from high false positive rates. Consequently, these methods are insufficient for real-world applications. This masks the deficiencies of existing anonymous proxy technologies in combating detection models based on flow relationship analysis.