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DMIN
2006

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Anomaly Detection Using the Dempster-Shafer Method

13 years 5 months ago

Anomaly Detection Using the Dempster-Shafer Method

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In this paper, we implement an anomaly detection system using the Dempster-Shafer method. Using two standard benchmark problems we show that by combining multiple signals it is possible to achieve better results than by using a single signal. We further show that by applying this approach to a real-world email dataset the algorithm works for email worm detection. Dempster-Shafer can be a promising method for anomaly detection problems with multiple features (data sources), and two or more classes.

Qi Chen, Uwe Aickelin

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Added	30 Oct 2010
Updated	30 Oct 2010
Type	Conference
Year	2006
Where	DMIN
Authors	Qi Chen, Uwe Aickelin

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