Detection of Malware By Using Support Vector Machine

Abstract

Investigate the structure of the program by using bytes or text strings N-gram analysis is an approach . A basic issue with N-gram analysis is selection of feature ,the explosion of features that occurs when N is increased .The experimental details within this paper represent programs as operational code density histograms which are gained from dynamic analysis .A support vector machine is used for the creation of reference model ,also having two methods of feature reduction, first is area of intersect and subspace analysis using eigenvectors .then analysis show that the relationships between features are complex and simple statistics filtering approaches do not provide a viable approach. use eigenvector subspace analysis to produces a suitable filter.
DOI: 10.17762/ijritcc2321-8169.150693