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

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

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