Vulnerability Assessment of Network Assets Based on 
CatBoost Algorithm and Bayesian Search

Bin Dong*; Xiaotian Xu; Yue Sun; Yue Zhang; Cong Hou; Qi Tian

doi:10.70711/aitr.v2i6.5741

Vulnerability Assessment of Network Assets Based on CatBoost Algorithm and Bayesian Search

Bin Dong*, Xiaotian Xu, Yue Sun, Yue Zhang, Cong Hou, Qi Tian

Abstract

With the continuous development of cyberspace asset detection technology, more and more vulnerable aspects of assets are exposed
to the public, which increases the security risks of network assets to a certain extent. Conducting vulnerability assessment on network assets
can timely identify high-risk assets with strong vulnerability and actively protect and repair vulnerable network assets before security incidents occur, thus effectively reducing the probability of network security incidents. Existing research mainly focuses on network asset vulnerability assessment, and the research on network asset vulnerability assessment methods is relatively scarce.

Keywords

Network security; Cyberspace assets; Vulnerability assessment; CatBoost Algorithm; Bayesian Search

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DOI: http://dx.doi.org/10.70711/aitr.v2i6.5741

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