Research Article, J Comput Eng Inf Technol Vol: 7 Issue: 4
Significance of Feature Extraction in Classification of Rootkit Sub-Families of Malware
Prasenjit Das and Chetan Sharma*
Department of Computer Science Engineering, Chitkara University, Kallujhanda, Solan, Himachal Pradesh, India
*Corresponding Author : Chetan Sharma
Assistant Dean, Department of Computer Science Engineering, Chitkara University, Kallujhanda, Solan, Himachal Pradesh, India
Tel: 9501105716
E-mail: chetan.sharma@chitkarauniversity.edu.in
Received: April 04, 2018 Accepted: July 01, 2018 Published: July 07, 2018
Citation: Das P, Sharma C (2018) Significance of Feature Extraction in Classification of Rootkit Sub-Families of Malware. J Comput Eng Inf Technol 7:4. doi: 10.4172/2324-9307.1000206
Abstract
Modern malware sharing common code within sub-families, in order to nullify the anti-malware has redundant features in them. These features are added in the code to obfuscate the anti-malware. Feature selection techniques remove these redundant insignificant features from the binary exe. This leads to better classification results. We have shown experimentally that the classification of two classes of rootkit family of malware generate better accuracy when feature selection techniques have been applied. The accuracy of 84.17% as against 66.67% when feature selection is not applied shows the significance of feature selection in malware classification.
