1st International ICST Workshop On Wireless Network Measurement

Research Article

Trace Analysis of a Wireless University Network with Authentication

  • @INPROCEEDINGS{10.1109/WIOPT.2007.4480111,
        author={Alexander  Pelov and Pierre David and Thomas No\`{\i}l},
        title={Trace Analysis of a Wireless University Network with Authentication},
        proceedings={1st International ICST Workshop On Wireless Network Measurement},
        publisher={IEEE},
        proceedings_a={WINMEE/WITMEMO},
        year={2008},
        month={3},
        keywords={Authentication  Data analysis  IP networks  Network servers  Performance analysis  Personal digital assistants  Portals  Telecommunication traffic  Web server  Wireless networks},
        doi={10.1109/WIOPT.2007.4480111}
    }
    
  • Alexander Pelov
    Pierre David
    Thomas Noël
    Year: 2008
    Trace Analysis of a Wireless University Network with Authentication
    WINMEE/WITMEMO
    IEEE
    DOI: 10.1109/WIOPT.2007.4480111
Alexander Pelov1,*, Pierre David2,*, Thomas Noël3,*
  • 1: LSIIT (UMR7005) – University Louis Pasteur, blvd Sébastien Brant, 67400 Illkirch, France (phone: +33390244587; fax: +33390244455)
  • 2: Center of Network Communications (CRC) of ULP - University Louis Pasteur, 7 rue René Descartes, 67084 Strasbourg Cedex, France
  • 3: LSIIT (UMR7005) – University Louis Pasteur, blvd Sébastien Brant, 67400 Illkirch, France
*Contact email: pelov@dpt-info.u-strasbg.fr, Pierre.David@crc.u-strasbg.fr, Thomas.Noel@dpt-info.u-strasbg.fr

Abstract

In this paper we have analyzed traces gathered from 36 buildings part of 3 different universities, libraries, laboratories and public places. The availability of login information allowed us to quantify the MAC address sharing. In addition, we have described a procedure applicable to both WPA/802.1X and captive portal authentication logs, which in conjunction with association traces can be used to uniquely identify users with increased confidence. We found out that a non-negligible percentage - 36% - of the 400 thousand associations we studied are without corresponding authentications. We also found that 32% of the users have used the secured network and have caused 45% of the associations.