Star-Specific Key-Homomorphic PRFs From Learning With Linear Regression

Star-Specific Key-Homomorphic PRFs From Learning With Linear Regression

We introduce a novel method to derandomize the learning with errors (LWE) problem by generating deterministic yet sufficiently independent LWE instances that are constructed by using linear regression models, which are generated via (wireless) communication errors. We also introduce star-specific ke...

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Bibliographic Details
Main Authors: Vipin Singh Sehrawat, Foo Yee Yeo, Dmitriy Vassilyev
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Extremal set theory
key-homomorphic PRFs
learning with errors
learning with linear regression
mutual information
physical layer communications
Online Access:https://ieeexplore.ieee.org/document/10179860/

Internet

https://ieeexplore.ieee.org/document/10179860/

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