Vulnerability categorization using Bayesian networks
Ju An Wang, Minzhe Guo · 2010
This paper proposes a novel model and methodology to classify and categorize vulnerabilities according to their security types. We use Bayesian networks to automate the process. An example is provided to demonstrate the process of categorization. The automatically generated result is compared to the CVE type in NVD [6], and it proved the correctness of our method.