INSPIRING FUTURES

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

Miehling, Mathew J, Buchanan, William J and Lawson, Alistair (2011) Detection framework for the reduction of click-through and ID theft fraud in affiliate marketing. In: SCONE-the Scottish Networking Event, August 2011 , School of Computing, University of Glasgow. (Unpublished)

Full text not available from this repository. (Request a copy)

Abstract/Description

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.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: Affiliate marketing; detection frameworks; click-through; ID theft;
University Divisions/Research Centres: Edinburgh Napier University, Institute for Informatics and Digital Innovation
Dewey Decimal Subjects: 000 Computer science, information & general works > 000 Computer science, knowledge & systems > 005 Computer programming, programs & data > 005.8 Data security
Library of Congress Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Item ID: 4640
Depositing User: Computing Research
Date Deposited: 10 Oct 2011 11:16
Last Modified: 21 Oct 2014 13:48
URI: http://researchrepository.napier.ac.uk/id/eprint/4640

Actions (login required)

View Item

Edinburgh Napier University is a registered Scottish charity. Registration number SC018373