一种服务化人工智能模型的多级安全防护系统及方法

By constructing a multi-level security protection system for service-oriented artificial intelligence models, and adopting SM2/SM3/SM4 algorithms and Docker container technology, the system solves the problems of fragmented development models and insufficient security protection, realizes standardized model supply and full lifecycle security management, and improves model security and reusability.

CN122160196BActive Publication Date: 2026-07-17IND INFORMATION SECURITY (SICHUAN) INNOVATION CENT CO LTD

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
IND INFORMATION SECURITY (SICHUAN) INNOVATION CENT CO LTD
Filing Date
2026-05-09
Publication Date
2026-07-17

AI Technical Summary

Technical Problem

The fragmented development model of existing artificial intelligence models, the lack of full life-cycle security protection, and the insufficient autonomy and controllability of cryptographic technology result in low model reuse rate, poor security, and low integration efficiency.

Method used

A multi-level security protection system for service-oriented artificial intelligence models is constructed, including a three-level progressive security protection system of registration level, application level and deregistration level. The SM2/SM3/SM4 algorithms are used for identity authentication, encryption and decryption, model encapsulation and key management. Combined with Docker container technology, the model is standardized service-oriented encapsulation and multi-level autonomous and controllable security protection are realized.

Benefits of technology

It has enabled the standardized service provision of models, improved the security and availability of models throughout their entire lifecycle, reduced the risk of models being stolen and tampered with, increased model reuse rate and integration efficiency, and met the requirements of independent and controllable security standards.

✦ Generated by Eureka AI based on patent content.

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Abstract

本申请涉及人工智能与信息安全交叉技术领域,公开了一种服务化人工智能模型的多级安全防护系统及方法,该系统包括:模型生产者终端用于供模型生产者向模型安全平台发起身份认证请求,并在认证通过后上传原始模型文件;模型使用者终端用于供模型使用者向模型安全平台发起身份认证请求,并在认证通过后发起模型调用请求;模型安全平台用于接收模型生产者终端上传的原始模型文件,将原始模型文件加密后,与模型类型、模型序号、校验值、安全令牌进行安全封装,生成模型安全容器,模型注册模块同步生成全局唯一的模型身份标识,将模型身份标识与模型安全容器绑定后加密存储。本申请能够保障模型从开发到退役全流程的安全性和可信性。
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