A comprehensive review on the application of CVSS 4.0 and deep learning in vulnerability

Le résumé fourni par la source

This paper reviews the evolution of the Common Vulnerability Scoring System (CVSS), focusing on the enhancements and applications of CVSS 4.0. It also explores the potential integration of deep Learning techniques in vulnerability assessment. Key findings include identifying critical improvements in CVSS 4.0 that address previous limitations and enhance accuracy and granularity in vulnerability scoring. Additionally, the paper demonstrates how deep Learning models can predict vulnerability scores and trends, thereby improving the speed and precision of assessments. By combining CVSS 4.0 with deep Learning technologies, this paper proposes a more comprehensive and efficient approach to vulnerability assessment, which could significantly enhance proactive security measures and risk management strategies.

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