Open AccessCategorization of CVE Based on Vulnerability Software By Using Machine Learning Techniques
Publication year - 2021
Publication title -
international journal of advanced trends in computer science and engineering
Language(s) - English
Resource type - Journals
ISSN - 2278-3091
DOI - 10.30534/ijatcse/2021/1581032021
Subject(s) - categorization , vulnerability (computing) , computer science , software , computer security , data science , artificial intelligence , programming language
Public Platform is designed as an online website for researchers to collect reliable data for the study. NVD plays a significant role in analyzing The result of analysis in association influence metrics CVSS, type of CWE and applicability reports weakness CPE. The vulnerability testing is not performed by NVD while third-party security researchers and vulnerability controllers give information that has been assigned these attributes. ML plays a significant part in our daily life for the classification of huge data and is giving fruitful results. Because of that result, major steps have been made against criminal activities or unauthorized use of electronic data and protect the data from attackers. The major goal of this research is to categorize CVE Based Vulnerability Software throughout the last two years, 2019-2020.The findings of this study were used to ML for the categorization of CVE and compared and will open door for the fresh researchers and professionals.