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ISAnWin: inductive generalized zero-shot learning using deep CNN for malware detection across windows and android platforms

Effective malware detection is critical to safeguarding digital ecosystems from evolving cyber threats. However, the scarcity of labeled training data, particularly for cross-family malware detection, poses a significant challenge. This research proposes a novel architecture ConvNet-6 to be used in...

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Wedi'i Gadw mewn:
Prif Awduron: Umm-e-Hani Tayyab, Faiza Babar Khan, Asifullah Khan, Muhammad Hanif Durad, Farrukh Aslam Khan, Aftab Ali
Fformat: Artigo
Iaith:Inglês
Cyhoeddwyd: PeerJ Inc. 2024-12-01
Cyfres:PeerJ Computer Science
Pynciau:
Malware detection
PE malware
Android malware
End-point protection
Artificial intelligence
Deep learning
Mynediad Ar-lein:https://peerj.com/articles/cs-2604.pdf
Tagiau: Ychwanegu Tag
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