Blockchain-secure machine learning model management
By introducing blockchain technology into the MLOps processor, every interaction of the machine learning model is recorded and verified, solving the problems of insufficient security and traceability in existing systems and achieving transparent and secure model management.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- RENESAS ELECTRONICS CORP
- Filing Date
- 2026-01-09
- Publication Date
- 2026-07-17
AI Technical Summary
Existing MLOps systems lack robust mechanisms to ensure the security and traceability of machine learning models in cloud infrastructure, and cannot effectively track and verify the lifecycle interactions of models, leading to risks of unauthorized access and tampering.
By integrating blockchain technology into the MLOps processor, machine learning models are managed through a private permissioned blockchain. Each interaction is recorded as an immutable transaction, ensuring transparency and security throughout the model's lifecycle. Transactions are verified using model public key encryption and consensus mechanisms, establishing an immutable blockchain ledger.
It enables transparent and secure lifecycle management of machine learning models, ensuring model integrity and immutability, providing fine-grained monitoring and accountability mechanisms, and enhancing trust and transparency.
Smart Images
Figure CN122413484A_ABST