• DocumentCode
    2518262
  • Title

    A Dynamic Trust Estimation Method for ´Persona´ from the Human Relationship of Social Web

  • Author

    Yamasaki, Shigeichiro

  • Author_Institution
    Dept. of Inf. & Comput. Sci., Kinki Univ., Fukuoka, Japan
  • fYear
    2010
  • fDate
    19-23 July 2010
  • Firstpage
    300
  • Lastpage
    303
  • Abstract
    In this paper, we propose a trust estimation method for a parson by the rating of his or her active audience of social web such as Twitter. We call this method ´trust by the rating of a persona´s active audience.´ A ´persona´, such as ´Display Name´ of Twitter (with additional authentication) or ´Claimed ID´ of OpenID, denotes an artificial identity to represent one´s social position in the user-centric authorization. We utilize the ´persona´ to be an object to accumulate the rating of trust for IT services for our trust estimation method. The most significant difference of our trust model and traditional one like PKI is that the trustworthiness of persona is not stable. Therefore, we focused on the implement methods for the sensitivity of the temporal change of a persona´s trustworthiness. The basic idea of our ´trust by the rating of a persona´s active audience´ is similar to the Google Page Rank method. We also try to show that this kind of social web based trust has a possibility to be a global infrastructure for trust.
  • Keywords
    Internet; security of data; social networking (online); IT services; Twitter; dynamic trust estimation method; google page rank method; social web human relationship; Authentication; Authorization; Biological system modeling; Estimation; Google; Humans; Twitter; Google Page Rank; OAuth; OpenID; Persona; Personalized mashup; Privacy; Social Web; Trust; Trust estimation; Twitter; User centric Authorization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Applications and the Internet (SAINT), 2010 10th IEEE/IPSJ International Symposium on
  • Conference_Location
    Seoul
  • Print_ISBN
    978-1-4244-7526-1
  • Electronic_ISBN
    978-0-7695-4107-5
  • Type

    conf

  • DOI
    10.1109/SAINT.2010.51
  • Filename
    5598058