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URN: urn:nbn:de:0030-drops-17947
URL: https://drops.dagstuhl.de/opus/volltexte/2008/1794/
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Flegel, Ulrich ; Kerschbaum, Florian ; Wacker, Richard

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

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08302.FlegelUlrich.ExtAbstract.1794.pdf (0.08 MB)


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.

BibTeX - Entry

@InProceedings{flegel_et_al:DSP:2008:1794,
  author =	{Ulrich Flegel and Florian Kerschbaum and Richard Wacker},
  title =	{Collaborative Fraud Detection in Outsourcing Scenarios: Issues of and Solutions for Privacy and Confidentiality},
  booktitle =	{Countering Insider Threats },
  year =	{2008},
  editor =	{Matt Bishop and Dieter Gollmann and Jeffrey Hunke and Christian W. Probst },
  number =	{08302},
  series =	{Dagstuhl Seminar Proceedings},
  ISSN =	{1862-4405},
  publisher =	{Schloss Dagstuhl - Leibniz-Zentrum fuer Informatik, Germany},
  address =	{Dagstuhl, Germany},
  URL =		{http://drops.dagstuhl.de/opus/volltexte/2008/1794},
  annote =	{Keywords: Insider threat; occupational fraud; privacy law; PET; logical clocks, pseudonyms,}
}

Keywords: Insider threat; occupational fraud; privacy law; PET; logical clocks, pseudonyms,
Collection: 08302 - Countering Insider Threats
Issue Date: 2008
Date of publication: 23.12.2008


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