Regression analysis for network intrusion detection

Abstract

Machine learning and statistics are categorized as part of data science. Regression is one of the techniques of machine learning. Most of the contributions in the literature in respect to intrusion detection are mainly based on dimensionality reduction using techniques such as PCA, SVD, feature selection, feature reduction techniques and application of classifier algorithms. Very less attention is paid on regression analysis for intrusion detection in the existing literature. There is a scope to apply regression-based analysis for intrusion detection. Regression analysis may be applied for dimensionality reduction, classification or prediction tasks. This paper throws light on the possibility of applying regression analysis for intrusion detection and outlines some of the contributions that addressed regression analysis to perform intrusion detection.