Metamorphic malware detection using structural features and nonnegative matrix factorization with hidden markov model

Metamorphic malware modifies its code structure using a morphing engine to evade traditional signature-based detection. Previous research has shown the use of opcode instructions as feature representation with Hidden Markov Model in the context of metamorphic malware detection. However, it would b...

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Bibliographic Details
Main Authors: Ling, Yeong Tyng, Nor Fazlida, M Sani, Mohd Taufik, Abdullah, Nor Asilah Wati Abdul, Hamid
Format: Article
Language:English
Published: Springer 2021
Subjects:
Online Access:http://ir.unimas.my/id/eprint/37348/1/Ling%20Yeong%20Tyng.pdf
http://ir.unimas.my/id/eprint/37348/
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Institution: Universiti Malaysia Sarawak
Language: English
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