A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2018; you can also visit the original URL.
The file type is
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 mutations. We exploit these unchanged features by the mean of classification using Support Vector Machine (SVM). N-gram features are extracted directly from malware binaries to avoid disassembly, whichdoi:10.12928/telkomnika.v14i3.3850 fatcat:z4ryzzozv5e2jhe3ka7kupesei