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 :
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