Metamorphic malware detection based on support vector machine classification of malware sub-signatures
Achieving accurate and efficient metamorphic malware detection remains a challenge. Metamorphic malware is able to mutate and alter its code structure in each infection that can circumvent signature matching detection. However, some vital functionalities and code segments remain unchanged between mu...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Universitas Ahmad Dahlan
2016
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| Subjects: | |
| Online Access: | http://eprints.utm.my/id/eprint/71495/1/IsmahaniIsmail2016_Metamorphicmalwaredetectionbasedon.pdf http://eprints.utm.my/id/eprint/71495/ https://www.scopus.com/inward/record.uri?eid=2-s2.0-84994645699&doi=10.12928%2ftelkomnika.v14.i3.3850&partnerID=40&md5=9bddd91d72dd3d7765283346cee06803 |
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