A hybrid approach combining Bayesian networks and logistic regression for enhancing risk assessment

Abstract This study enhances cybersecurity risk assessment by integrating Bayesian Networks (BN) and Logistic Regression (LR) models, using data from the CISA Known Exploited Vulnerabilities catalog. First, a probabilistic causal model is built as a BN to capture complex interdependencies among vuln...

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Bibliographic Details

Published in:	Scientific Reports
Main Authors:	Xueyuan Wei, Yingdong Dong
Format:	Article
Language:	English
Published:	Nature Portfolio 2025-07-01
Subjects:	Bayesian networks Logistic regression Risk assessment Cybersecurity Machine learning Data driven
Online Access:	https://doi.org/10.1038/s41598-025-10291-9