1 code implementation • 27 Apr 2018 • Daniel Gibert, Carles Mateu, Jordi Planes, Ramon Vicens
Motivated by the visual similarity between streams of entropy of malicious software belonging to the same family, we propose a file agnostic deep learning approach for categorization of malware.
Ranked #5 on Malware Classification on Microsoft Malware Classification Challenge (LogLoss metric)
1 code implementation • 27 Oct 2017 • Daniel Gibert, Javier Béjar, Carles Mateu, Jordi Planes, Daniel Solis, Ramon Vicens
Traditional signature-based methods have started becoming inadequnate to deal with next generation malware which utilize sophisticated obfuscation (polymorphic and metamorphic) techniques to evade detection.