DocumentCode
3366792
Title
Enforcing Privacy by Means of an Ontology Driven XACML Framework
Author
Abou-Tair, D.D. ; Berlik, Stefan ; Kelte, Udo
Author_Institution
Univ. of Siegen, Siegen
fYear
2007
fDate
29-31 Aug. 2007
Firstpage
279
Lastpage
284
Abstract
Nowadays enforcing privacy in enterprises is recognized as an issue of impact. Actually, it is a big challenge to adapt normative laws and regulations in a software system. It is a challenging task to include the formalized laws and rules in enterprises since e.g. more than one regulation may affect the terms of privacy concerning one situation. Traditional access control provides a general mechanism for assigning rights to individual users or roles. In the context of privacy this is insufficient; it offers no means to fulfil certain aspects such as limitations to the duration for which private data may be stored. To enforce privacy in enterprises we further need a fine granular access control mechanism on the data entities to ensure that every aspect of privacy can be reflected. This paper provides a novel solution for this by means of ontologies. The usage of ontologies in our approach differs from the conventional form in focusing on generating access control policies which are adapted from our software framework to provide fine granular access on the diverse data sources.
Keywords
XML; authorisation; data privacy; legislation; ontologies (artificial intelligence); access control mechanism; enterprise privacy; normative laws; ontology driven XACML framework; software system regulations; Access control; Application software; Computer architecture; Data privacy; Data security; Information security; Law; Ontologies; Protection; Software systems;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Assurance and Security, 2007. IAS 2007. Third International Symposium on
Conference_Location
Manchester
Print_ISBN
0-7695-2876-7
Electronic_ISBN
978-0-7695-2876-2
Type
conf
DOI
10.1109/IAS.2007.52
Filename
4299787
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