Invention Grant
- Patent Title: Deep cyber vulnerability mitigation system
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Application No.: US17521549Application Date: 2021-11-08
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Publication No.: US12088616B2Publication Date: 2024-09-10
- Inventor: Ankit Shah
- Applicant: University of South Florida
- Applicant Address: US FL Tampa
- Assignee: UNIVERSITY OF SOUTH FLORIDA
- Current Assignee: UNIVERSITY OF SOUTH FLORIDA
- Current Assignee Address: US FL Tampa
- Agency: Quarles & Brady LLP
- Main IPC: G06F21/57
- IPC: G06F21/57 ; G06N3/02 ; H04L9/40 ; H04L41/16

Abstract:
A method, system, or apparatus for mitigating computer and network security deficiencies is provided in which, the method, system, or apparatus scans computer system components for finding a vulnerability, generates a Vulnerability Priority Scoring System (VPSS) score for the vulnerability based on the vulnerability, develops a vulnerability mitigation policy based on a system state comprising the VPSS score, wherein the vulnerability mitigation policy provides a best action for mitigating the vulnerability selected among one or more trained possible actions by a deep neural network, and performs the vulnerability mitigation policy based on the best action. Other aspects, embodiments, and features are also claimed and described.
Public/Granted literature
- US20220150271A1 DEEP CYBER VULNERABILITY MITIGATION SYSTEM Public/Granted day:2022-05-12
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