• DocumentCode
    725722
  • Title

    Linking virtual and real-world identities

  • Author

    Alsarkal, Yaqoub ; Nan Zhang ; Yilu Zhou

  • Author_Institution
    Dept. of Comput. Sci., George Washington Univ., Washington, DC, USA
  • fYear
    2015
  • fDate
    27-29 May 2015
  • Firstpage
    49
  • Lastpage
    54
  • Abstract
    Today, one can find from the web vast amount of information about an individual. Specifically, such information can be classified into two categories, virtual and real-world identities. This paper addresses a novel problem of linking these two types of identities based on information publicly available on the web. We start by studying how one can link virtual identities (i.e., user profiles) at Twitter with real-world identities at Whitepages.com (containing personal information such as name, age, relatives, etc.). We demonstrate that a substantial portion (at least 0.17%) of Twitter users in the U.S. can indeed be potentially linked to their real-world identities through information available at Whitepages.com, revealing sensitive personal data. We discuss the implications of such identity linkages on both individual privacy and law enforcement, and also point out the future studies required in this topic.
  • Keywords
    data privacy; law administration; pattern classification; social networking (online); Twitter; Whitepages.com; individual privacy; information classification; law enforcement; real-world identity linkage; virtual identity linkage; Cities and towns; Couplings; Government; Joining processes; Privacy; Twitter; Twitter; Whitepages; identity elements; identity linkage; real world identity; virtual identity;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligence and Security Informatics (ISI), 2015 IEEE International Conference on
  • Conference_Location
    Baltimore, MD
  • Print_ISBN
    978-1-4799-9888-3
  • Type

    conf

  • DOI
    10.1109/ISI.2015.7165938
  • Filename
    7165938