Dynamic threshold cross-chain supervision system and method based on quantum random walk
By using a dynamic threshold cross-chain regulatory system based on quantum random walks, the problems of insufficient privacy protection and compliance in cross-chain regulation are solved, and efficient and secure cross-chain data transmission and regulation are achieved. It is suitable for highly sensitive data scenarios such as cross-border finance and healthcare.
Patent Information
- Application Number
- CN202510992923.8
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-07-18
- Publication Date
- 2025-11-14
AI Technical Summary
Existing technologies in cross-chain regulation suffer from insufficient privacy protection due to static gradient aggregation, inability to adapt to compliance requirements of multiple countries in real time, lack of dynamic risk response mechanisms for fixed signer numbers, low research density on quantum dynamic thresholds and differential noise injection, and inability to effectively address quantum attacks and data leaks.
A dynamic threshold cross-chain monitoring system based on quantum random walks is adopted, including a quantum key generation module, a dynamic threshold control module, a quantum attack resistance module, and a differential noise injection module. The encryption key is generated through the quantum random walk algorithm, and the threshold value is dynamically adjusted in combination with data type, regional regulations, and real-time threat index. Laplace noise is dynamically added before federated learning gradient aggregation, and the system status is monitored in real time and fault response is triggered.
It achieves efficient and secure cross-chain supervision, enhances the security and compliance of the system, effectively responds to quantum attacks and data breaches, ensures privacy protection and compliance of data transmission, and is suitable for highly sensitive data scenarios such as cross-border finance and healthcare.
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Abstract
Citation Information
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