• DocumentCode
    2427066
  • Title

    Fine-Grained Trust Assertions for Privacy Management in the Social Semantic Web

  • Author

    Sacco, Owen ; Breslin, J.G. ; Decker, Stefan

  • Author_Institution
    Digital Enterprise Res. Inst., Nat. Univ. of Ireland, Galway, Ireland
  • fYear
    2013
  • fDate
    16-18 July 2013
  • Firstpage
    218
  • Lastpage
    225
  • Abstract
    Social Web applications are engineered around users sharing personal information with their connected peers. They provide generic privacy settings which user specify with whom their information can be shared. However, this does not model the real world where one might trust someone with specific personal data but not with other data. Therefore, trust has to be taken into consideration when applying privacy settings. In our previous work, we modelled fine-grained privacy preferences without asserting trust. In this work, we add trust to our Privacy Preference Framework to provide more fine-grained enforcement of access control when sharing information. This ensures that users´ personal information is accessed only by the intended third parties.
  • Keywords
    authorisation; data privacy; semantic Web; social networking (online); trusted computing; access control; fine-grained privacy preferences; fine-grained trust assertions; personal information sharing; privacy management; privacy preference framework; privacy settings; social Web applications; social semantic Web; Data privacy; Ontologies; Privacy; Public key; Semantic Web; Social network services; Access Control; PPM; PPO; Privacy; Social Semantic Web; TAO; Trust; Web of Data;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Trust, Security and Privacy in Computing and Communications (TrustCom), 2013 12th IEEE International Conference on
  • Conference_Location
    Melbourne, VIC
  • Type

    conf

  • DOI
    10.1109/TrustCom.2013.30
  • Filename
    6680844