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
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.
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Keywords
- Insider threat; occupational fraud; privacy law; PET; logical clocks
- pseudonyms,
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