Proximax: Measurement-driven proxy dissemination

Damon McCoy, Jose Andre Morales, Kirill Levchenko

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Abstract

    Many people currently use proxies to circumvent government censorship that blocks access to content on the Internet. Unfortunately, the dissemination channels used to distribute proxy server locations are increasingly being monitored to discover and quickly block these proxies. This has given rise to a large number of ad hoc dissemination channels that leverage trust networks to reach legitimate users and at the same time prevent proxy server addresses from falling into the hands of censors. To address this problem in a more principled manner, we present Proximax, a robust system that continuously distributes pools of proxies to a large number of channels. The key research challenge in Proximax is to distribute the proxies among the different channels in a way that maximizes the usage of these proxies while minimizing the risk of having them blocked. This is challenging because of two conflicting goals: widely disseminating the location of the proxies to fully utilize their capacity and preventing (or at least delaying) their discovery by censors.

    Original languageEnglish (US)
    Title of host publicationFinancial Cryptography and Data Security - 15th International Conference, FC 2011, Revised Selected Papers
    Pages260-267
    Number of pages8
    DOIs
    StatePublished - 2012
    Event15th International Conference on Financial Cryptography and Data Security, FC 2011 - Gros Islet, Saint Lucia
    Duration: Feb 28 2011Mar 4 2011

    Publication series

    NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
    Volume7035 LNCS
    ISSN (Print)0302-9743
    ISSN (Electronic)1611-3349

    Other

    Other15th International Conference on Financial Cryptography and Data Security, FC 2011
    CountrySaint Lucia
    CityGros Islet
    Period2/28/113/4/11

    ASJC Scopus subject areas

    • Theoretical Computer Science
    • Computer Science(all)

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  • Cite this

    McCoy, D., Morales, J. A., & Levchenko, K. (2012). Proximax: Measurement-driven proxy dissemination. In Financial Cryptography and Data Security - 15th International Conference, FC 2011, Revised Selected Papers (pp. 260-267). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 7035 LNCS). https://doi.org/10.1007/978-3-642-27576-0_21