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Documents authored by Wacker, Richard


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Collaborative Fraud Detection in Outsourcing Scenarios: Issues of and Solutions for Privacy and Confidentiality

Authors: Ulrich Flegel, Florian Kerschbaum, and Richard Wacker

Published in: Dagstuhl Seminar Proceedings, Volume 8302, Countering Insider Threats (2008)


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.

Cite as

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)


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@InProceedings{flegel_et_al:DagSemProc.08302.3,
  author =	{Flegel, Ulrich and Kerschbaum, Florian and Wacker, Richard},
  title =	{{Collaborative Fraud Detection in Outsourcing Scenarios: Issues of and Solutions for Privacy and Confidentiality}},
  booktitle =	{Countering Insider Threats},
  pages =	{1--5},
  series =	{Dagstuhl Seminar Proceedings (DagSemProc)},
  ISSN =	{1862-4405},
  year =	{2008},
  volume =	{8302},
  editor =	{Matt Bishop and Dieter Gollmann and Jeffrey Hunke and Christian W. Probst},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/DagSemProc.08302.3},
  URN =		{urn:nbn:de:0030-drops-17947},
  doi =		{10.4230/DagSemProc.08302.3},
  annote =	{Keywords: Insider threat; occupational fraud; privacy law; PET; logical clocks, pseudonyms,}
}
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