A Survey of Feature Selection for Vulnerability Prediction Using Feature-based Machine Learning

Abstract

This paper summarized the basic process of software vulnerability prediction using feature-based machine learning for the first time. In addition to sorting out the related types and basis of vulnerability features definition, the advantages and disadvantages of different methods are compared. Finally, this paper analyzed the difficulties and challenges in this research field, and put forward some suggestions for future work.