Comparison of Methods for Automatically Predicting CVSS Base Vector
Author:
Affiliation:
1. Shinshu University,Nagano,Japan
2. Nara Institute of Science and Technology,Nara,Japan
3. Voice Research, Inc.,Tokyo,Japan
4. Institute of Information Security,Kanagawa,Japan
5. Waseda University,Tokyo,Japan
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10633276/10633246/10633514.pdf?arnumber=10633514
Reference18 articles.
1. National Institute of Standards and Technology (NIST), “NATIONAL VULNERABILITY DATABASE / Understanding Vulnerability Detail Pages,2022
2. P2P, vol. 1: Analyzing Remediation Strategies,2018
3. Quantitative security risk evaluation using cvss metrics by estimation of frequency and maturity of exploit;Singh,2016
4. CVEfixes: automated collection of vulnerabilities and their fixes from open-source software
5. Common vulnerability scoring system version 3.1: Specification document,2019
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