DOI: 10.32657/10356/93574
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Frequency analysis and online learning in malware detection

Abstract: of the art in this direction by proposing a new adaptive online algorithm to handle the problem of concept drift in malware detection. Our improved algorithm has also been successfully applied to other non-security domains.

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