Malgazer
Auteur : Keith J. Jones
Date de publication : 2019
Éditeur : Dakota State University
Nombre de pages : 424
Résumé du livre
"This dissertation explores functional malware classification using running window entropy and machine learning classifiers. This topic was under researched in the prior literature, but the implications are important for malware defense. This dissertation will present six new design science artifacts. The first artifact was a generalized machine learning based malware classifier model. This model was used to categorize and explain the gaps in the prior literature. This artifact was also used to compare the prior literature to the classifiers created in this dissertation, herein referred to as "Malgazer" classifiers. ..."--Abstract (leaf iii)