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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Main Authors: | , , , |
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Format: | Article |
Language: | English |
Published: |
Springer
2021
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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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