Autors: Yosifova, V. K.
Title: Software Application for Automatic Common Vulnerabilities and Exposures Type Assignment Using Ensemble Machine Learning Algorithms
Keywords: Ensemble machine learning, CVE Types, Software application, API, Weakness description

Abstract: The following paper presents an implementation of a software application that can predict Common Vulnerabilities and Exposures (CVE) vulnerability type in real-time using ensemble machine learning algorithms. Vulnerability type and weaknesses description can provide useful information how to mitigate vulnerabilities problems. This software application incorporates two modules. A Web Interface and HTTP API module. The purpose of both modules is to provide convenient access for users through the Web Interface on the one hand, and on the other hand to give a useful interface for automatic processing through the API module. The final version of the application is planned to be open-source and freeware, and can be used by cybersecurity experts and individuals.



    Computer and Communications Engineering, 2021, Bulgaria,

    Вид: статия в списание, публикация в реферирано издание