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...

وصف كامل

التفاصيل البيبلوغرافية
الحاوية / القاعدة:	Scientific Reports
المؤلفون الرئيسيون:	Xueyuan Wei, Yingdong Dong
التنسيق:	مقال
اللغة:	الإنجليزية
منشور في:	Nature Portfolio 2025-07-01
الموضوعات:	Bayesian networks Logistic regression Risk assessment Cybersecurity Machine learning Data driven
الوصول للمادة أونلاين:	https://doi.org/10.1038/s41598-025-10291-9

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