Invention Grant
- Patent Title: Quantum computing machine learning for security threats
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Application No.: US16867586Application Date: 2020-05-06
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Publication No.: US11558403B2Publication Date: 2023-01-17
- Inventor: Kelly Nicole Ryver
- Applicant: International Business Machines Corporation
- Applicant Address: US NY Armonk
- Assignee: International Business Machines Corporation
- Current Assignee: International Business Machines Corporation
- Current Assignee Address: US NY Armonk
- Agent Donald J. O'Brien
- Main IPC: H04L9/40
- IPC: H04L9/40 ; G06F21/57 ; G06N10/00 ; G06N20/00 ; G06F17/16

Abstract:
Embodiments are disclosed for a method for a security model. The method includes generating a Bloch sphere based on a system information and event management (SIEM) of a security domain and a structured threat information expression trusted automated exchange of indicator information. The method also includes generating a quantum state probabilities matrix based on the Bloch sphere. Further, the method includes training a security threat model to perform security threat classifications based on the quantum state probabilities matrix. Additionally, the method includes performing a machine learning classification of the security domain based on the quantum state probabilities matrix.
Public/Granted literature
- US20210352087A1 QUANTUM COMPUTING MACHINE LEARNING FOR SECURITY THREATS Public/Granted day:2021-11-11
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