AI Model Deployment Limits for Privacy-Secure Network Configuration
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Solution Overview
Problem
Current wireless communication systems lack a solution to protect the privacy of AI models during their life cycle management, particularly in terms of model configuration and deployment, due to the absence of a limitation mechanism.
Innovation Solution
Introduce configuration limitation information to manage the deployment of AI models, ensuring they are used only within a specified range by authorized network devices, using model identification and management information to enforce privacy protection.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If AI models are deployed without configuration limitation mechanisms, then model deployment flexibility and ease of operation are improved, but model privacy security and reliability deteriorate
Solution Approach 1:
The patent applies preliminary action by establishing configuration limitation information and authorization mechanisms before AI model deployment. The model management network element pre-configures which network devices are authorized to deploy specific models, and this authorization information is validated before deployment occurs. This prevents unauthorized model distribution while maintaining smooth deployment processes for authorized devices.
Solution Approach 2:
The patent introduces a model management network element as an intermediary between model creators and deploying network devices. This intermediary maintains model authorization information, validates deployment requests, and enforces configuration limitations. The intermediary ensures that only authorized network devices can deploy specific AI models, thereby protecting model privacy without complicating the deployment process for authorized users.
2Reliability
If configuration limitation mechanisms are introduced to protect model privacy, then model security and reliability are improved, but system complexity and device complexity increase
Solution Approach 1:
The patent applies universality by designing the model management network element to perform multiple functions: storing model authorization information, validating deployment requests, managing model configurations, and enforcing privacy protections. By consolidating these functions into a single multi-functional component, the system avoids the complexity that would arise from multiple separate security modules, validators, and management systems.
Solution Approach 2:
The patent uses parameter changes by representing configuration limitations as structured information parameters that can be easily transmitted, stored, and validated. The authorization information is encoded as configurable parameters in the model management system, allowing flexible enforcement of privacy rules without requiring complex structural changes to the deployment architecture. These parameters can be adjusted to match different security requirements.
Data Source
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AI summary
This application provides a communication method, a communication apparatus, and a communication system. In the method, a first network device sends a request message to a model management network element, where the request message is used for requesting to register a first model with the model management network element, and the first model is an AI model; and the first network device receives configuration limitation information of the first model from the model management network element, where the configuration limitation information indicates a network device that is allowed to be configured with the first model. In this solution, configuration limitation information of a model is introduced, so that a privacy requirement on model configuration or model use can be met. This helps improve security of the model.