Ransomware Detection with CNN and Deep Learning Based on Multiple Features of Portable Executable Files
Chia-Cheng Yang,
Jia-Ming Hsu,
Jenq-Shiou Leu
et al.
Abstract:Due to the epidemic, many industries need to rely on computers to perform necessary tasks. In case of a ransomware attack, the consequences are unimaginable. In order to avoid ransomware attacks, many researchers have proposed large number of methods to distinguish between benign programs and ransomware, but ransomware keeps changing, making these methods gradually ineffective and leaving the virus attacks unresolved. This study collected 1200 samples of ransomware with 80 families, includes packed, encrypted,… Show more
Set email alert for when this publication receives citations?
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.