Figure 2: Latency improvement compared to a baseline static proxy list.
your.email@example.com Abstract The rapid growth of web‑based services and the increasing demand for privacy‑preserving, low‑latency access have intensified the need for robust proxy‑management solutions. Rammerhead (RHM) is a lightweight, browser‑based reverse‑proxy platform that routes client traffic through a pool of publicly available HTTP/S and SOCKS5 proxies. This paper presents the Rammerhead Proxy List (RPL) – a systematic approach to curate, validate, categorize, and distribute proxy endpoints for RHM. We describe the architecture of the RPL pipeline, the algorithms used for health‑checking and performance scoring, the security controls employed to mitigate abuse, and the mechanisms for continuous updating. Experimental results from a three‑month deployment across three continents demonstrate a median latency improvement of 27 % and an uptime of 96.3 % for the proxy pool, while maintaining compliance with ethical usage policies. The paper concludes with best‑practice recommendations for operators wishing to adopt a similar proxy‑list framework. 1. Introduction 1.1 Motivation Modern web users often require anonymity, geo‑distribution, or circumvention of network restrictions. Reverse‑proxy services such as Rammerhead provide a convenient way to access web resources without exposing the client’s IP address. However, the quality and reliability of the underlying proxy pool directly affect user experience. Existing ad‑hoc proxy lists are typically static, lack health monitoring, and expose operators to security and legal risks. Rammerhead Proxy List WORK
The RPL team conducts quarterly with a multidisciplinary board (legal, security, privacy) to ensure ongoing compliance. 7. Conclusion and Future Work The Rammerhead Proxy List demonstrates that a disciplined, automated approach to proxy collection and scoring can dramatically improve the performance and reliability of reverse‑proxy services. By integrating multi‑stage validation, quantitative scoring, and policy‑driven retirement, RPL maintains a high‑quality pool while mitigating security and legal risks. Figure 2: Latency improvement compared to a baseline
"generated_at": "2026-04-15T08:00:00Z", "proxies": [ "address": "203.0.113.45:3128", "protocol": "http", "country": "DE", "pqs": 0.87, "anonymity": "elite" , ... ] This paper presents the Rammerhead Proxy List (RPL)
Your Name – Department of Computer Science, XYZ University Collaborator Name – Network Engineering Team, ABC Corp.
Design, Implementation, and Evaluation of the Rammerhead Proxy List (RPL) – A Scalable, Secure, and Maintainable Proxy‑Management System