Document Open Access Logo

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

Authors Ulrich Flegel, Florian Kerschbaum, Richard Wacker



PDF
Thumbnail PDF

File

DagSemProc.08302.3.pdf
  • Filesize: 85 kB
  • 5 pages

Document Identifiers

Author Details

Ulrich Flegel
Florian Kerschbaum
Richard Wacker

Cite AsGet BibTex

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

Metrics

  • Access Statistics
  • Total Accesses (updated on a weekly basis)
    0
    PDF Downloads
Questions / Remarks / Feedback
X

Feedback for Dagstuhl Publishing


Thanks for your feedback!

Feedback submitted

Could not send message

Please try again later or send an E-mail