Method for performing operations in cryptographic applications - Patent Application 20070122997
JP2025529882A5Pending Publication Date: 2026-07-03KATHOLIEKE UNIV LEUVEN
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Patent Information
- Application Number
- JP2025511593
- Authority / Receiving Office
- JP · JP
- Patent Type
- Applications
- Current Assignee / Owner
- Priority Date
- 2022-08-26
- Filing Date
- 2023-08-23
- Publication Date
- 2026-07-03
AI Technical Summary
Technical Problem
Existing fully homomorphic encryption (FHE) schemes face computational overhead issues, particularly in polynomial multiplication, which is costly and inefficient, and require precise data representation to manage noise levels effectively.
Method used
A method to determine optimal parameter values for variable representation in cryptographic operations, considering noise sources and constraints, to enhance efficiency and reduce computational overhead.
Benefits of technology
The method allows for rapid prototyping and efficient implementation of cryptographic operations by optimizing parameter values, reducing computational costs and noise management, suitable for FHE schemes.
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Abstract
The present invention relates to a method for deriving one or more parameters that determine a representation of a variable used when performing an operation on input operands in a cryptographic application, the operation having one or more subtasks that output the variable as an input for a subsequent subtask or as an output of the operation, at least one of the subtasks receiving the input operands. The method comprises: determining one or more characteristics of the variable output by one of the subtasks based on a model of a noise source originating from one of the subtasks and / or at least one characteristic of an input to the one subtask, the one or more characteristics of the variable being characterized by one or more parameters; determining the representation by fixing at least one of the parameters to a value such that the one or more characteristics satisfy the one or more predefined constraints; and applying the representation of the variable to an implementation of the operation in the cryptographic application.
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