DagSemProc.08302.3.pdf
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Collaborative Fraud Detection in Outsourcing Scenarios: Issues of and Solutions for Privacy and Confidentiality
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Dagstuhl Seminar Proceedings, Volume 8302
Series: Dagstuhl Seminar Proceedings (DagSemProc) - License:
Creative Commons Attribution 4.0 International license
- Publication Date: 2008-12-23
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Ulrich Flegel, Florian Kerschbaum, and Richard Wacker. Collaborative Fraud Detection in Outsourcing Scenarios: Issues of and Solutions for Privacy and Confidentiality. In Countering Insider Threats. Dagstuhl Seminar Proceedings, Volume 8302, pp. 1-5, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2008)
https://doi.org/10.4230/DagSemProc.08302.3
https://doi.org/10.4230/DagSemProc.08302.3
Abstract
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.
Keywords
- Insider threat; occupational fraud; privacy law; PET; logical clocks
- pseudonyms,
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