Article (Scientific journals)
A dynamic logic for privacy compliance
Aucher, Guillaume; Boella, Guido; van der Torre, Leon
2011In Artificial Intelligence and Law, p. 187-231
Peer reviewed
 

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Keywords :
privacy compliance
Abstract :
[en] Knowledge based privacy policies are more declarative than traditional action based ones, because they specify only what is permitted or forbidden to know, and leave the derivation of the permitted actions to a security monitor. This inference problem is already non trivial with a static privacy policy, and becomes challenging when privacy policies can change over time. We therefore introduce a dynamic modal logic that permits not only to reason about permitted and forbidden knowledge to derive the permitted actions, but also to represent explicitly the declarative privacy policies together with their dynamics. The logic can be used to check both regulatory and behavioral compliance, respectively by checking that the permissions and obligations set up by the security monitor of an organization are not in conflict with the privacy policies, and by checking that these obligations are indeed enforced.
Disciplines :
Computer science
Identifiers :
UNILU:UL-ARTICLE-2012-359
Author, co-author :
Aucher, Guillaume ;  University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Computer Science and Communications Research Unit (CSC)
Boella, Guido
van der Torre, Leon ;  University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Computer Science and Communications Research Unit (CSC)
External co-authors :
yes
Language :
English
Title :
A dynamic logic for privacy compliance
Publication date :
2011
Journal title :
Artificial Intelligence and Law
ISSN :
0924-8463
Publisher :
Springer Science & Business Media B.V.
Pages :
187-231
Peer reviewed :
Peer reviewed
Focus Area :
Law / European Law
Available on ORBilu :
since 03 March 2016

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