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Titel: Automated Privacy Audits Based on Pruning of Log Data.
Publikationstyp: Konferenzbeiträge
Autoren: Accorsi R, Stocker T
Erscheinungsjahr: 2008
Herausgeber: IEEE Computer Society
Journal: Proceedings of the 12th Enterprise Distributed Object Computing Conference Workshops
Tagung: 12th International IEEE Enterprise Distributed Object Computing Conference, ECOC 2008, München
Seiten: 175 - 182
Reihe: EDOCW '08
Kurzfassung: This paper presents a novel approach to automated audits based on the pruning of log data represented as trees. Events, recorded as a sequential list of entries, are interpreted as nodes of a tree. The audit consists in removing the nodes that are compliant with the policy, so that the remaining tree consists only of the violations of the policy. Besides presenting the method, this paper demonstrates that the resultant method is more efficient than usual audit approaches by analyzing its theoretical complexity and the runtime figures obtained by a proof of concept.
URL/DOI: http://dx.doi.org/10.1109/EDOCW.2008.18
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