LAUSR

PlausMal-GAN: Plausible Malware Training Based on Generative Adversarial Networks for Analogous Zero-Day Malware Detection

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1 Published in 2023 at "IEEE Transactions on Emerging Topics in Computing"

DOI: 10.1109/tetc.2022.3170544

Abstract: Zero-day malicious software (malware) refers to a previously unknown or newly discovered software vulnerability. The fundamental objective of this paper is to enhance detection for analogous zero-day malware by efficient learning to plausible generated data.… read more here.

Keywords: malware; day malware; zero day; gan ... See more keywords