Support Vector Machines and Malware Detection

Abstract

In this chapter, we shall take a look at what support vector machine (SVM) is, how it works, and then get into the details of applying SVM in malware detection. SVM learning algorithm is a supervised machine learning technique used for both regression and classification problems. Regression models are used in predicting continuous values, and classification models are used in predicting which class a data point is part of. SVMs are mostly used for solving classification problems. At the end of this chapter, we also demonstrate the classification of malware from benign ones.