Blockchain Node AI Model Management for Secure Real-Time Access
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Solution Overview
Problem
Existing AI model management systems face security risks due to reliance on central servers, which can lead to data leakage, network latency, and service disruptions, and lack real-time processing capabilities.
Innovation Solution
An electronic device functioning as a node in a blockchain network manages AI models using a communication module and processor to register, evaluate, and manage AI models, ensuring secure and decentralized storage and processing through a blockchain network.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If AI models are stored in a central server, then management and control are simplified, but security risks increase and service disruptions occur when the server is hacked or overloaded
Solution Approach 1:
The patent segments the centralized AI model management system into a distributed blockchain network where multiple nodes collectively manage AI models. Each node stores and validates model information independently, eliminating the single point of failure in centralized servers while maintaining coordinated control through consensus mechanisms.
Solution Approach 2:
The patent introduces a blockchain-based intermediary layer that mediates between AI model providers and users. This intermediary verifies model capabilities through smart contracts and capability evaluation mechanisms, ensuring secure transactions and reliable service delivery without relying on a vulnerable central server.
2Adaptability or versatility
If AI models are provided through cloud servers, then external access is enabled, but security data leakage risks increase
Solution Approach 1:
The blockchain network acts as a trusted intermediary between external users and AI models. Smart contracts verify model capabilities and manage access permissions without exposing sensitive model data to external cloud servers, enabling secure external access while preventing data leakage.
Solution Approach 2:
Instead of providing direct access to original AI models through external cloud servers, the system uses blockchain to store and verify model capability information. Nodes can validate model capabilities through cryptographic proofs and capability evaluation data stored on the blockchain, eliminating the need to expose actual model data externally.
3Ease of operation
If a central server manages AI models, then centralized control is achieved, but network latency increases and real-time processing is poor
Solution Approach 1:
The patent divides the centralized control function across multiple distributed nodes in the blockchain network. Each node can independently validate and process AI model information locally, eliminating the need for all operations to travel to a distant central server, thus reducing network latency while maintaining coordinated control through blockchain consensus.
4Adaptability or versatility
If AI models are individually managed or stored in cloud servers, then flexibility is provided, but security risks and network dependency increase
Solution Approach 1:
The patent segments AI model management into independent node operations within a blockchain network. Each node can manage models locally with flexibility, while the blockchain provides distributed validation and security, combining individual autonomy with collective reliability through consensus mechanisms.
Data Source
AI summary
An electronic device corresponding to a node of a blockchain network includes a communication module and a processor configured to access, through the communication module, the blockchain network in which at least one artificial intelligence (AI) model is registered, identify at least one program among a plurality of programs configured to manage the at least one AI model registered in the blockchain network and manage, using the at least one program, the at least one AI model registered in the blockchain network.