Collaborative Fraud Detection in Outsourcing Scenarios: Issues of and Solutions for Privacy and Confidentiality
Ulrich Flegel, Florian Kerschbaum, Richard Wacker · DROPS (Schloss Dagstuhl – Leibniz Center for Informatics) · 2008
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.