一种基于量子技术的智能网关数据处理方法

By employing a quantum-based intelligent gateway data processing method, utilizing the Ring-LWE lattice cryptography algorithm, quantum neural network (QNN), and quantum Bayesian network (QBN), the security, traffic control, and anomaly detection problems of traditional intelligent gateways are solved, achieving efficient and secure data processing and real-time business assurance.

CN122226273BActive Publication Date: 2026-07-17SICHUAN CHUANNENG INTELLIGENT NETWORK IND CO LTD

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
SICHUAN CHUANNENG INTELLIGENT NETWORK IND CO LTD
Filing Date
2026-04-22
Publication Date
2026-07-17

AI Technical Summary

Technical Problem

Traditional smart gateways have fundamental security vulnerabilities, insufficient traffic control capabilities, and shortcomings in anomaly detection performance, making them unable to meet the low latency, high concurrency encryption requirements and real-time service quality requirements of IoT scenarios.

Method used

A quantum-based intelligent gateway data processing method is adopted. The Ring-LWE lattice cryptography algorithm with on-ring fault-tolerant learning is used to achieve double-layer encryption and two-way authentication. The quantum neural network QNN is combined to predict traffic and a quantum Bayesian network QBN is constructed for anomaly detection, so as to achieve efficient data encryption, traffic control and anomaly identification.

Benefits of technology

It solves the security vulnerabilities, insufficient traffic control, and shortcomings in anomaly detection of traditional smart gateways, and achieves high-precision traffic prediction and anomaly detection, ensuring the security and stability of data transmission, reducing encryption and decryption calculation latency, and improving the accuracy of anomaly detection.

✦ Generated by Eureka AI based on patent content.

Smart Images

  • Figure CN122226273B_ABST
    Figure CN122226273B_ABST
Patent Text Reader

Abstract

本发明公开了一种基于量子技术的智能网关数据处理方法,包括:量子密钥池初始化,通过环上容错学习Ring‑LWE格密码算法为接入智能网关的终端生成公私钥对,进行双向身份认证,终端上传的原始数据进行双层加密与解密校验,得到原始数据;构建量子神经网络QNN预测未来的网关流量,计算对原始数据进行传输的拥塞风险系数,执行分级动态拥塞控制;构建量子贝叶斯网络QBN对数据异常进行检测,通过量子条件概率算子完成特征依赖关系建模,计算原始数据的流量异常概率,完成异常流量判定与安全响应。本发明通过量子加密、量子机器学习、量子安全识别的多维度深度融合,构建全流程闭环的网关数据处理体系,解决智能网关面临的安全、时延、精度等问题。
Need to check novelty before this filing date? Find Prior Art