Deep-Ensemble and Multifaceted Behavioral Malware Variant Detection Model

Every day, hundreds of thousands of new malware programs are developed and spread worldwide in cyberspace. Most of these malware programs are malware variants such as polymorphic and metamorphic malware, which are created from older versions of malware and able to change their structures and functio...

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Detaylı Bibliyografya
Asıl Yazarlar:	Asma A. Al-Hashmi, Fuad A. Ghaleb, A. Al-Marghilani, Abdulsamad E. Yahya, Shouki A. Ebad, Muhammad Saqib M.S., Abdulbasit A. Darem
Materyal Türü:	Artigo
Dil:	Inglês
Baskı/Yayın Bilgisi:	IEEE 2022-01-01
Seri Bilgileri:	IEEE Access
Konular:	Malware detection malware variants multifaceted behavioral features deep ensemble learning sequential deep learning
Online Erişim:	https://ieeexplore.ieee.org/document/9760382/
Etiketler:	Etiketle Etiket eklenmemiş, İlk siz ekleyin!

Deep-Ensemble and Multifaceted Behavioral Malware Variant Detection Model

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