2026-07-23T22:06:47Z https://drops.dagstuhl.de/oai

oai:drops-oai.dagstuhl.de:1794 2024-03-06T11:08:13Z ddc:004 open_access

Collaborative Fraud Detection in Outsourcing Scenarios: Issues of and Solutions for Privacy and Confidentiality Flegel, Ulrich Kerschbaum, Florian Wacker, Richard Insider threat; occupational fraud; privacy law; PET; logical clocks pseudonyms, In this paper we investigate the privacy dimension of collaborative fraud detection envisioned for outsourcing scenarios. Firstly, we investigate the privacy requirements derived from privacy law and present the resulting judicial argument for pseudonymizing audit data generated for the purpose of fraud detection. Second, we summarize the requirements for such pseudonymization derived from the requirements of the misuse detection approach for fraud detection. Third, we describe our approach for pseudonymization of audit data and two approaches for hiding timestamps in audit data. Schloss Dagstuhl – Leibniz-Zentrum für Informatik Ulrich Flegel and Florian Kerschbaum and Richard Wacker 2008 Is Part Of Dagstuhl Seminar Proceedings, Volume 8302, Countering Insider Threats (2008) InProceedings Text doc-type:ResearchArticle publishedVersion application/pdf doi:10.4230/DagSemProc.08302.3 urn:nbn:de:0030-drops-17947 https://drops.dagstuhl.de/entities/document/10.4230/DagSemProc.08302.3 eng https://creativecommons.org/licenses/by/4.0/legalcode