HIERARCHICAL FEATURE EXTRACTION FOR MALWARE CLASSIFICATION IN NETWORK TRAFFIC

In one embodiment, a method includes receiving packet flow data at a feature extraction hierarchy comprising a plurality of levels, each of the levels comprising a set of feature extraction functions, computing a first set of feature vectors for the packet flow data at a first level of the feature e...

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Bibliographic Details
Main Authors Machlica Lukas, Sofka Michal
Format Patent
LanguageEnglish
Published 11.05.2017
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Summary:In one embodiment, a method includes receiving packet flow data at a feature extraction hierarchy comprising a plurality of levels, each of the levels comprising a set of feature extraction functions, computing a first set of feature vectors for the packet flow data at a first level of the feature extraction hierarchy, inputting the first set of feature vectors from the first level of the feature extraction hierarchy into a second level of the feature extraction hierarchy to compute a second set of feature vectors, and transmitting a final feature vector to a classifier to identify malicious traffic. An apparatus and logic are also disclosed herein.
Bibliography:Application Number: US201514934492