• DocumentCode
    3542027
  • Title

    Reputation Model Based on Trusted Group and Interaction Scene

  • Author

    Fei Wang ; KeXing Yan ; Min Feng

  • Author_Institution
    Dept. of Electron. & Inf. Egineering, Huazhong Univ. of Sci. & Technol., Wuhan, China
  • fYear
    2012
  • fDate
    21-23 Sept. 2012
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Spam calls irritate people a lot. Many methods have been proposed to filter spam calls under different backgrounds. Regarding the sociology and psychology as a guide, we tried to propose a reputation model that can work in most backgrounds. In this paper, we proposed a reputation model based on trusted group and interaction scene, and then simulate the system and analysis the results. It appears a satisfactory performance and a rapid learning speed.
  • Keywords
    e-mail filters; psychology; trusted computing; unsolicited e-mail; interaction scene; learning speed; psychology; reputation model; sociology; spam call filtering; trusted group; Computational modeling; Error analysis; Humans; Mathematical model; Psychology; Sociology; Unsolicited electronic mail;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Wireless Communications, Networking and Mobile Computing (WiCOM), 2012 8th International Conference on
  • Conference_Location
    Shanghai
  • ISSN
    2161-9646
  • Print_ISBN
    978-1-61284-684-2
  • Type

    conf

  • DOI
    10.1109/WiCOM.2012.6478642
  • Filename
    6478642
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3542027