Research Output

Detection framework for the reduction of click-through and ID theft fraud in affiliate marketing.

  This presentation focuses on outlining criminal activity within affiliate marketing related to click-through and ID theft crime, based on real-life crime data. It shows the mechanisms that criminals might use in order to act fraudulently, and presents a framework that has been created in order to detect whether there is a risk from malicious affiliates. The work is funded by the FSA (Financial Services Authority), and aim to overcome some of the risks related to online fraud.

  • Type:

    Conference Paper (unpublished)

  • Publication Status:

    Unpublished

  • Library of Congress:

    QA75 Electronic computers. Computer science

  • Dewey Decimal Classification:

    005.8 Data security

Citation

Miehling, M. J., Buchanan, W. J. & Lawson, A. Detection framework for the reduction of click-through and ID theft fraud in affiliate marketing.. Paper presented at SCONE-the Scottish Networking Event, School of Computing, University of Glasgow. (Unpublished)

Authors

Keywords

Affiliate marketing; detection frameworks; click-through; ID theft;

Available Documents