• DocumentCode
    185005
  • Title

    Authorship Authentication Using Short Messages from Social Networking Sites

  • Author

    Li, Jenny S. ; Monaco, John V. ; Li-Chiou Chen ; Tappert, Charles C.

  • Author_Institution
    Seidenberg Sch. of Comput. Sci. & Inf. Syst, Pace Univ., White Plains, NY, USA
  • fYear
    2014
  • fDate
    5-7 Nov. 2014
  • Firstpage
    314
  • Lastpage
    319
  • Abstract
    This paper presents and discusses several experiments in authorship authentication of short social network postings, an average of 20.6 words, from Facebook. The goal of this research is to determine the degree to which such postings can be authenticated as coming from the purported user and not from an intruder. Various sets of stylometry and ad hoc social networking features were developed to categorize short messages from thirty Facebook authors as authentic or non-authentic using Support Vector Machines. The challenges of applying traditional stylometry on short messages were discussed. The test results showed the impact of sample size, features, and user writing style on the effectiveness of authorship authentication, indicating varying degrees of success compared to previous studies in authorship authentication.
  • Keywords
    authorisation; social networking (online); support vector machines; Facebook; ad hoc social networking features; authorship authentication; short messages; short social network postings; stylometry; support vector machines; user writing style; Accuracy; Authentication; Electronic mail; Facebook; Support vector machines; Writing; Authorship authentication; intrusion detection; language-based security; social network; stylometry;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    e-Business Engineering (ICEBE), 2014 IEEE 11th International Conference on
  • Conference_Location
    Guangzhou
  • Print_ISBN
    978-1-4799-6562-5
  • Type

    conf

  • DOI
    10.1109/ICEBE.2014.61
  • Filename
    6982099