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

Research Output

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Conference Paper (unpublished)
Date:

01 August 2011
Publication Status:

Unpublished
Library of Congress:

QA75 Electronic computers. Computer science
Dewey Decimal Classification:

005.8 Data security

http://researchrepository.napier.ac.uk/output/197162 <p>Miehling, M. J., Buchanan, W. J., & Lawson, A. (2011, August). <i>Detection framework for the reduction of click-through and ID theft fraud in affiliate marketing</i>. Paper presented at SCONE-the Scottish Networking Event, School of Computing, University of Glasgow</p>

Citation

Miehling, M. J., Buchanan, W. J., & Lawson, A. (2011, August). 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