An Extensive Study of Residential Proxies in China
Mingshuo Yang, Yunnan Yu, Xianghang Mi, Shujun Tang, Shanqing Guo,, Yilin Li, Xiaofeng Zheng, Haixin Duan

TL;DR
This paper presents a comprehensive analysis of residential proxies in China, introducing a novel classifier and techniques to identify RESIPs efficiently, revealing extensive usage, security risks, and malicious activities associated with RESIPs.
Contribution
It introduces a semantic-based classifier and new methods for RESIP detection without traffic relaying, enabling large-scale characterization of RESIPs in China.
Findings
Identified 399 RESIP services, far exceeding previous counts.
Discovered over 9 million RESIP IPs, with 96.7% previously unreported.
Found high malicious activity and security risks associated with RESIPs.
Abstract
We carry out the first in-depth characterization of residential proxies (RESIPs) in China, for which little is studied in previous works. Our study is made possible through a semantic-based classifier to automatically capture RESIP services. In addition to the classifier, new techniques have also been identified to capture RESIPs without interacting with and relaying traffic through RESIP services, which can significantly lower the cost and thus allow a continuous monitoring of RESIPs. Our RESIP service classifier has achieved a good performance with a recall of 99.7% and a precision of 97.6% in 10-fold cross validation. Applying the classifier has identified 399 RESIP services, a much larger set compared to 38 RESIP services collected in all previous works. Our effort of RESIP capturing lead to a collection of 9,077,278 RESIP IPs (51.36% are located in China), 96.70% of which are not…
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