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
Link To Document