• DocumentCode
    705609
  • Title

    Per Connection Server-Side Identification of Connections via Tor

  • Author

    Springall, Andrew ; DeVito, Christopher ; Huang, Shou-Hsuan Stephen

  • Author_Institution
    Comput. Sci. & Eng., Univ. of Michigan, Ann Arbor, MI, USA
  • fYear
    2015
  • fDate
    24-27 March 2015
  • Firstpage
    727
  • Lastpage
    734
  • Abstract
    This paper presents two new and novel methods to separate network connections between those that have originated behind the Tor network and those that have not. Our methods identify Tor inbound connections through the use of two distinct timing signatures, delay and round-trip time, that can be used to create effective metrics. In order to evaluate our methods´ ability to correctly identify Tor connections, we present the results of two small-scale experiments, one testing performance with HTTP traffic and the other testing SSH. These experiments resulted in very high accuracy rates (100% and 98.99% respectively) when partitioning network connections into Tor and non-Tor originating connections. Through the use of our techniques, we believe that inbound connections that have traversed the Tor network can be identified on a per-connection basis rather than the current per-IP basis.
  • Keywords
    computer network security; HTTP traffic; SSH; Tor inbound connections; Tor network; computer security; connection server-side identification; intrusion detection; the onion router; Browsers; Cryptography; Delays; IP networks; Protocols; Relays; Servers; HTTP; Intrusion detection; SSH; Tor; computer security; stepping-stone;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Information Networking and Applications (AINA), 2015 IEEE 29th International Conference on
  • Conference_Location
    Gwangiu
  • ISSN
    1550-445X
  • Print_ISBN
    978-1-4799-7904-2
  • Type

    conf

  • DOI
    10.1109/AINA.2015.260
  • Filename
    7098045