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US Patent 11411726 Cryptographic key generation using multiple random sources

Patent 11411726 was granted and assigned to British Telecommunications Public Limited Company on August, 2022 by the United States Patent and Trademark Office.

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Is a
Patent
Patent

Patent attributes

Current Assignee
British Telecommunications Public Limited Company
British Telecommunications Public Limited Company
Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
Patent Number
11411726
Date of Patent
August 9, 2022
Patent Application Number
17250088
Date Filed
May 2, 2019
Patent Citations
‌
US Patent 10389709 Securing client-specified credentials at cryptographically attested resources
‌
US Patent 10420879 Pairing a medical apparatus with a control unit
‌
US Patent 10461943 Transparently scalable virtual hardware security module
‌
US Patent 10505721 Secure virtualized data volumes
‌
US Patent 10541811 Systems and methods for securing data
‌
US Patent 10972263 Single node multi-party encryption
‌
US Patent 10607018 Apparatus, system, and method of securitization of memory modules against malicious acts
‌
US Patent 11025429 Trusted contextual content
...
Patent Citations Received
‌
US Patent 11870557 Process for generating transport keys for data communication based on actions performed by a transport
0
Patent Primary Examiner
‌
Sanchit K Sarker
CPC Code
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H04L 9/0877
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H04L 9/0897
‌
H04L 9/0852
‌
G06F 7/588
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H04L 9/0869
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H04L 63/062

A computer implemented method of generating cryptographic keys for a hardware security module (HSM), the method including generating a plurality of cryptographic keys and storing the cryptographic keys for use by the HSM in providing cryptography functions, wherein the cryptographic keys are generated based on numerical data generated by a hardware random number generator, such that a rate of generation of the cryptographic keys unconstrained by the resources of the HSM, wherein the hardware random number generator operates based on a plurality of statistically random entropy data sources originating from natural phenomena so as to increase a degree of randomness of the numerical data.

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