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Published in:
2011 | OriginalPaper | Chapter
Datalog for Security, Privacy and Trust
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Logic-based policy languages are appreciated because of their clean semantics and expressiveness. Datalog has been used for a long time as a foundation of many security models and policy languages. Recently, Description Logics (DLs for short) have been adopted as policy languages, too. In this paper we carry out a comparison of Datalog and Description Logics as policy languages, based both on expressiveness analysis and on an assessment of the current maturity of the two fields, expressly related to the representation and reasoning tasks involved in policy authoring, enforcement, and management. We shall argue that Datalog-based approaches are currently more powerful and mature than those based on pure DLs, although the ongoing research on the latter might change the picture in a near future. The potential of hybrid approaches will be briefly discussed.