A secure data transmission system based on dynamic algorithm selection
By employing multi-dimensional context awareness and deep reinforcement learning models, dynamic selection and seamless switching of encryption algorithms are achieved, solving the problems of limited encryption algorithm selection and difficulty in quantum-secure deployment in existing technologies, and improving the security and adaptability of data transmission.
CN122348868APending Publication Date: 2026-07-07SHANGHAI UNI SENTRY INTELLIGENT TECH CO LTD
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- SHANGHAI UNI SENTRY INTELLIGENT TECH CO LTD
- Filing Date
- 2026-06-09
- Publication Date
- 2026-07-07
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Figure CN122348868A_ABST
Abstract
The application provides a kind of safe data transmission system based on dynamic algorithm selection, belong to data transmission security technical field.The system includes: multi-dimensional context perception module, real-time acquisition network environment, equipment resources, data attributes, security threat situation and compliance requirements and other multi-dimensional information;Algorithm capability registry module, store the capability description information of each encryption algorithm;Security assessment engine module, output the security score index of each algorithm;Intelligent decision engine module, through deep reinforcement learning model and index mutual correction mechanism, independently select the optimal encryption algorithm combination;Algorithm switching execution module, complete the seamless switching of encryption algorithm under the condition of uninterrupted communication;Feedback evaluation and self-evolution module, with decision performance index as reward signal to drive model continuous optimization.The application realizes multi-dimensional perception, intelligent decision, seamless switching and self-learning evolution of encryption algorithm, significantly improves the security, adaptability and long-term self-optimization capability of data transmission.
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