PlausMal-GAN: Plausible Malware Training Based on Generative Adversarial Networks for Analogous Zero-Day Malware Detection
Sign Up to like & getrecommendations! 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
ZeVigilante: Detecting Zero-Day Malware Using Machine Learning and Sandboxing Analysis Techniques
Sign Up to like & getrecommendations! Published in 2022 at "Computational Intelligence and Neuroscience"
DOI: 10.1155/2022/1615528
Abstract: For the enormous growth and the hysterical impact of undocumented malicious software, otherwise known as Zero-Day malware, specialized practices were joined to implement systems capable of detecting these kinds of software to avert possible disastrous… read more here.
Keywords: day; zevigilante detecting; machine learning; day malware ... See more keywords