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US 2019/0102564 A1Published application
Automated Security Patch and Vulnerability Remediation Tool for Electric Utilities
AssigneesBoard of Trustees of the University of Arkansas, Arkansas Electric Cooperative Corporation
InventorsQinghua Li, Fengli Zhang, Philip Huff
Life of this patent
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Abstract
A system and method for implementing a machine learning-based software for electric utilities that can automatically recommend a remediation action for a security vulnerability.
Claims11
A system for implementing a machine learning-based software for electric utilities that can automatically recommend a remediation action for a security vulnerability, the system comprising:
- a processor programmed to implement said machine learning-based software, said software adapted to learn past remediation decisions for past vulnerabilities to create a learned model;
- and
- said learned model is used to predict future remediation actions.
Dependencies are inferred from the claim text.