Automated Patch Management: An Empirical Evaluation Study

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Abstract

Vulnerability patch management is one of IT orga-nizations' most complex issues due to the increasing number of publicly known vulnerabilities and explicit patch deadlines for compliance. Patch management requires human involvement in testing, deploying, and verifying the patch and its potential side effects. Hence, there is a need to automate the patch management procedure to keep the patch deadline with a limited number of available experts. This study proposed and implemented an automated patch management procedure to address mentioned challenges. The method also includes logic to automatically handle errors that might occur in patch deployment and ver-ification. Moreover, the authors added an automated review step before patch management to adjust the patch prioritization list if multiple cumulative patches or dependencies are detected. The result indicated that our method reduced the need for human intervention, increased the ratio of successfully patched vulnerabilities, and decreased the execution time of vulnerability risk management.

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CITATION STYLE

APA

Mehri, V. A., Arlos, P., & Casalicchio, E. (2023). Automated Patch Management: An Empirical Evaluation Study. In Proceedings of the 2023 IEEE International Conference on Cyber Security and Resilience, CSR 2023 (pp. 321–328). Institute of Electrical and Electronics Engineers Inc. https://doi.org/10.1109/CSR57506.2023.10224970

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