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CORR
2010
Springer

Network Intrusion Detection Using FP Tree Rules

8 years 12 months ago
Network Intrusion Detection Using FP Tree Rules
----------------------------------------------ABSTRACT-------------------------------------------In the faceless world of the Internet, online fraud is one of the greatest reasons of loss for web merchants. Advanced solutions are needed to protect e-businesses from the constant problems of fraud. Many popular fraud detection algorithms require supervised training, which needs human intervention to prepare training cases. Since it is quite often for an online transaction database to have Terabyte-level storage, human investigation to identify fraudulent transactions is very costly. This paper describes the automatic design of user profiling method for the purpose of fraud detection. We use a FP (Frequent Pattern) Tree rule-learning algorithm to adaptively profile legitimate customer behavior in a transaction database. Then the incoming transactions are compared against the user profile to uncover the anomalies. The anomaly outputs are used as input to an accumulation system for combinin...
P. Srinivasulu, J. Ranga Rao, I. Ramesh Babu
Added 24 Jan 2011
Updated 24 Jan 2011
Type Journal
Year 2010
Where CORR
Authors P. Srinivasulu, J. Ranga Rao, I. Ramesh Babu
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