• DocumentCode
    3343659
  • Title

    Detection of applications within encrypted tunnels using packet size distributions

  • Author

    Mujtaba, G. ; Parish, D.J.

  • Author_Institution
    Electron. & Electr. Eng. Dept., Loughborough Univ., Loughborough, UK
  • fYear
    2009
  • fDate
    9-12 Nov. 2009
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    In protocol tunnelling, one application protocol is encapsulated within another carrier protocol. Application-layer tunnels are security threat for networks because those applications which are sometimes restricted by firewalls like high data-rate games, peer-to-peer file sharing, video streaming, etc are carried through the allowed protocols like HTTP, SSH, hence the firewall policy is thwarted. The existing techniques for detection of applications across the network, e.g. packet data analysis are not very successful, especially in encrypted tunnels i.e ones using HTTPS, TLS/SSL protocols as the carrier. This work describes a statistical approach to detect applications which are running using encrypted tunnels. Previous work has shown the packet size distribution to be an effective metric for detecting most network applications. Here the same technique is applied for encrypted tunnels. Statistical Chi-square test is used for the analysis of the selected applications´ packet size distributions. From the results, it is shown that tunneled applications can be detected using packet size distribution in encrypted tunnels.
  • Keywords
    cryptography; protocols; statistical analysis; HTTP; TLS-SSL protocols; application protocol; application-layer tunnels; carrier protocol; firewall policy; packet data analysis; packet size distributions; peer-to-peer file sharing; protocol tunnelling; statistical Chi-square test; statistical approach; tunnel encryption; video streaming; Cryptography;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Internet Technology and Secured Transactions, 2009. ICITST 2009. International Conference for
  • Conference_Location
    London
  • Print_ISBN
    978-1-4244-5647-5
  • Type

    conf

  • DOI
    10.1109/ICITST.2009.5402624
  • Filename
    5402624