ihsonnet
Drop cover image

vulnerability research

Beyond CVSS: Predicting Known Exploited Vulnerabilities Using NVD Metadata and Machine Learning

researchAccepted — peer reviewed
CVSSMachine LearningNVDvulnerability research

Investigates whether machine-learning analysis of NVD metadata can improve identification and prioritisation of vulnerabilities known to be actively exploited. Peer reviewed and accepted for publication/presentation.

Investigates whether machine-learning analysis of NVD metadata can improve identification and prioritisation of vulnerabilities known to be actively exploited. Peer reviewed and accepted for publication/presentation.

Open to collaboration

Let’s build the next
clear technical story.

Send an email