Incorporating known malware signatures to classify new malware variants in network traffic
Content-based malware classification technique using n-gram features required high computational overhead because of the size of feature space. This paper proposes the augmentation of domain knowledge in the form of known Snort malware signatures to machine learning techniques to reduce resources (i...
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| Format: | Article |
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John Wiley and Sons
2015
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