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Portable, Data-Driven Malware Detection using Language Processing and Machine Learning Techniques on Behavioral Analysis Reports

E. Karbab,M. Debbabi

2018 · DBLP: journals/corr/abs-1812-10327
arXiv.org · 2 Citations

TLDR

The key idea of MalDy portability is the modeling of the behavioral reports into a sequence of words, along with advanced natural language processing (NLP) and machine learning (ML) techniques for automatic engineering of relevant security features to detect and attribute malware without the investigator intervention.