This studentship is in co-operation with the Financial Services Authority (FSA) and the original aim was to examine an issue in the area of e-commerce that could greatly affect the financial sector. Throughout the course of the research, a framework for the automatic evaluation of web sites has been created. This framework has been tested on an affiliate advertising case study with promising results.
We have chosen to focus our experimentation on the affiliate advertising space due to two tremendous opportunities. We have had the fortune of being able to work with the Northumbria police to examine data from an actual case of affiliate fraud in the UK. We have also been able to work with several digital marketing agencies in examining the websites of currently active publishers on advertising campaigns for large corporations.
A key component of the research is in discovering what metrics can be used to evaluate the potential level of performance of a publisher's site in an appropriately matched affiliate advertising campaign. A secondary component is defining how our results can be used to change the way the affiliate marketing agencies conduct publisher site reviews.
FSA PhD Studentship is a Research Charities & Trusts project funded by Financial Services Authority.
Carried out in collaboration with and others.
For further information please refer to .
Lawson, A. (2011). Affliate Advertising Fraud and an Investigatory Fraud Framework. In: (Ed.) CyberForensics 2011, , () ( ed.). (pp. ). Glasgow: . .
Lawson, A. (2011, Auguest). Detection Framework for the Reduction of Click-through and ID Theft Fraud in Affiliate Marketing. Paper presented at SCONE, Glasgow.
Buchanan, W. (2010). 3DES Encryption and Decryption in Microsoft .NET. CDCS, (), ..
Buchanan, W. (2010). Towards a framework for the generation of enhanced attack/background network traffic for evaluation of network-based intrusion detection systems. In: (Ed.) 9th European Conference on Information Warfare and Security, , () ( ed.). (pp. 190-200). Greece: . .
Rahman, A. (2010). Analysis of Malicious Affiliate Network Activity as a Test Case for an Investigatory Framework. In: (Ed.) 9th European Conference on Information Warfare and Security, , () ( ed.). (pp. ). Greece: . .
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