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Title: Fraud Detection using Anomaly Detection Techniques

Title: Fraud Detection using Anomaly Detection Techniques

Creator: Prof Bill Buchanan Room: C63

Applicable Programmes: Software Engineering/Development, Networking, Distributed Systems, Internet Computing, and so on.

Style: Applied Research, .NET prototyping, Experimental Evaluation

Outline:

One method of determining possible fraudulent behaviour is to define normal activity on a server, and then to monitor for abnormal, or anomalous, behaviour. This project focuses on capturing normal server behaviour and determining possible attempts at fraud using a definition of anomalous behaviour.