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Diagnosing smartphone's abnormal behavior through robust outlier detection methods | IEEE Conference Publication | IEEE Xplore

Diagnosing smartphone's abnormal behavior through robust outlier detection methods


Abstract:

Smartphones have become increasingly popular and nowadays with the using of 3G networks, the needs in terms of connectivity in a business environment are substantial. Mal...Show More

Abstract:

Smartphones have become increasingly popular and nowadays with the using of 3G networks, the needs in terms of connectivity in a business environment are substantial. Malicious use of such devices is highly dangerous since users may be victims of such use. In this paper, we present two statistical methods (Minimum Covariance Determinant (MCD) and Minimum Volume Ellipsoid (MVE) used to detect abnormal smartphone's applications. Initial experiments results prove the efficiency and the accuracy of the MVE and MCD in detecting abnormal smartphone's applications.
Date of Conference: 28-31 October 2013
Date Added to IEEE Xplore: 16 December 2013
Electronic ISBN:978-1-4799-2969-6

ISSN Information:

Conference Location: Trento, Italy

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