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...

全面介紹

Saved in:
書目詳細資料
Main Authors: Khammas, Ban Mohammed, Monemi, Alireza, Ismail, Ismahani, Mohd. Nor, Sulaiman, Marsono, Muhammad Nadzir
格式: Article
語言:English
出版: Universitas Ahmad Dahlan 2016
主題:
在線閱讀: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
標簽: 添加標簽
沒有標簽, 成為第一個標記此記錄!