Distributed Framework Selection via Cryptographic Proof Confidence
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Solution Overview
Problem
Distributed frameworks for data storage and authentication in computing systems often face inefficiencies, insecurity, and lack of scalability due to reliance on centrally managed security and inefficient task distribution.
Innovation Solution
A method and system for selecting a distributed framework that involves identifying and assigning a confidence level to cryptographic evaluators based on secure proofs, allowing for the secure and efficient selection and deployment of a distributed network by evaluating and trusting hardware and decentralized authentication methods.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If centrally managed security is used, then security control is simplified, but scalability and system reliability deteriorate
Solution Approach 1:
The patent extracts the security management function from a centralized authority and distributes it to individual nodes in the network. Each node independently evaluates cryptographic proofs and makes its own security decisions, eliminating the single point of failure and improving overall system reliability while maintaining simplified local security control.
Solution Approach 2:
The patent introduces cryptographic proofs as intermediaries between nodes. These proofs serve as verifiable credentials that enable nodes to authenticate each other without requiring centralized verification. The cryptographic proof acts as a mediator that carries security information distributed across the network, allowing nodes to make informed security decisions independently.
2Device complexity
If inefficient task distribution is used, then system simplicity is maintained, but productivity and computational efficiency deteriorate
Solution Approach 1:
The patent implements dynamic task distribution where nodes continuously evaluate their own capabilities and the current network state to determine optimal task assignments. The system adapts task distribution in real-time based on node performance, availability, and computational characteristics, improving productivity while maintaining manageable complexity through automated decision-making.
Solution Approach 2:
The patent incorporates feedback mechanisms where nodes report their computational status, task completion rates, and performance metrics back to the network. This feedback enables the system to learn from past performance and optimize future task distribution, improving computational efficiency through continuous improvement while keeping the distribution logic centralized and simple.
3Adaptability or versatility
If decentralized authentication is implemented, then system scalability is improved, but authentication speed and reliability deteriorate
Solution Approach 1:
The patent performs preliminary authentication actions by pre-distributing cryptographic credentials and verification parameters to nodes before tasks are assigned. Nodes cache verification information and pre-establish security contexts, enabling rapid authentication when tasks are distributed. This preliminary preparation allows the system to scale horizontally while maintaining fast authentication speeds through local verification capabilities.
Data Source
AI summary
A method of selecting a distributed framework includes identifying, by a selection device coupled to a memory, at least a first cryptographic evaluator of a plurality of cryptographic evaluators, wherein identifying the at least a first cryptographic evaluator further comprises and evaluating a secure proof generated by the at least a first cryptographic evaluator, and identifying the at least a first cryptographic evaluator as a function of the secure proof, assigning, by the selection device, a confidence level of the at least a first cryptographic evaluator, and selecting, by a selection device, a distributed framework from the plurality of cryptographic evaluators as a function of the confidence level, and assigning a task to the distributed framework.