基于大数据的传输数据防篡改迭代加密方法

Ren Wang
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引用次数: 1

摘要

为了提高超级计算机网络传输数据存储的安全性,提出了一种基于椭圆双曲迭代编码的超级计算机网络传输数据加密技术。构造椭圆双曲型微分方程,将超级计算机网络的大数据加载到椭圆双曲型微分方程中。得到了描述定量编码符号频率的一组高阶统计特征解。进行了防篡改迭代加密密码设计和公钥编码配置。采用随机定量编码融合方法对计算机网络传输数据进行防篡改迭代。在物流混沌映射系统下,实现了超级计算机网络中数据传输的防篡改加密、安全存储和传输。仿真结果表明,该加密技术具有良好的防篡改性能、较强的抗攻击能力和良好的安全传输性能,适用于超级计算机网络传输数据加密。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Iterative Encryption Method of Transmission Data Anti-Tampering Based on Big Data
In order to improve the security of transmission data storage in supercomputer network, a supercomputer network transmission data encryption technology based on elliptical hyperbolic iterative coding is proposed. The elliptical hyperbolic differential equation is constructed, and the big data of the supercomputer network is loaded into the elliptical hyperbolic differential equation. A set of high-order statistical characteristic solutions describing the frequency of the quantitative coding symbol are obtained. The tamper-proof iterative encryption cipher design and the public key coding configuration are carried out. The random quantitative coding fusion method is used to carry out the tampering proof iteration of the computer network transmission data. The anti-tampering encryption, secure storage and transmission of data transmission in supercomputer network are realized under Logistics chaotic mapping system. The simulation results show that the encryption technology has good tamper proof performance, strong anti-attack ability and good secure transmission performance for supercomputer network transmission data encryption.
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