994 resultados para Paris (France) -- Rue Saint-Denis
Resumo:
This paper proposes a novel method of detecting packed executable files using steganalysis, primarily targeting the detection of obfuscated malware through packing. Considering that over 80% of malware in the wild is packed, detection accuracy and low false negative rates are important properties of malware detection methods. Experimental results outlined in this paper reveal that the proposed approach achieving an overall detection accuracy of greater than 99%, a false negative rate of 1% and a false positive rate of 0%.
Resumo:
An outlier removal based data cleaning technique is proposed to
clean manually pre-segmented human skin data in colour images.
The 3-dimensional colour data is projected onto three 2-dimensional
planes, from which outliers are removed. The cleaned 2 dimensional
data projections are merged to yield a 3D clean RGB data. This data
is finally used to build a look up table and a single Gaussian classifier
for the purpose of human skin detection in colour images.
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Référence bibliographique : Rol, 58192
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Référence bibliographique : Rol, 58193
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Référence bibliographique : Rol, 58194
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Référence bibliographique : Rol, 58199
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Référence bibliographique : Rol, 58200
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Référence bibliographique : Rol, 58215
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Référence bibliographique : Rol, 58216
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Référence bibliographique : Rol, 58246
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Référence bibliographique : Rol, 58515