Deep learning-powered malware detection in cyberspace: a contemporary review
Ananya Redhu,
Prince Choudhary,
Kathiravan Srinivasan
et al.
Abstract:This article explores deep learning models in the field of malware detection in cyberspace, aiming to provide insights into their relevance and contributions. The primary objective of the study is to investigate the practical applications and effectiveness of deep learning models in detecting malware. By carefully analyzing the characteristics of malware samples, these models gain the ability to accurately categorize them into distinct families or types, enabling security researchers to swiftly identify and co… Show more
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