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Encryption algorithm for network communication information based on binary logistic regression
Journal of Intelligent & Fuzzy Systems ( IF 1.7 ) Pub Date : 2020-06-29 , DOI: 10.3233/jifs-179936
Bo Su 1 , Qingyue Yang 2 , Jinlong Yang 1 , Manjun Zhang 3
Affiliation  

In order to overcome the problems of long encrypting time, low information availability, low information integrity and low encrypting efficiency when using the current method to encrypt the communication information in the network without constructing the sequence of communication information. Thispaper proposes a network communication information encryption algorithm based on binary logistic regression, analyses the development of computer architecture, builds a network communication model, layers the main body of information exchange, and realizes the information synchronization of device objects at all levels. Based on the binary Logistic regression model, network communication information sequence is generated, and the fusion tree is constructed by network communication information sequence. The network communication information is encrypted through system initialization stage, data preparation stage, data fusion stage and data validation stage. The experimental results show that the information availability of the proposed algorithm is high, and the maximum usability can reach 97.7%. The encryption efficiency is high, and the shortest encryption time is only 1.9 s, which fully shows that the proposed algorithm has high encryption performance.

中文翻译:

基于二进制逻辑回归的网络通信信息加密算法

为了克服现有技术在不构造通信信息序列的情况下对网络中的通信信息进行加密的情况下,加密时间长,信息可用性低,信息完整性低以及加密效率低的问题。提出了一种基于二进制逻辑回归的网络通信信息加密算法,分析了计算机体系结构的发展,建立了网络通信模型,分层了信息交换的主体,实现了设备对象在各个层面的信息同步。基于二元Logistic回归模型,生成网络通信信息序列,并通过网络通信信息序列构建融合树。通过系统初始化阶段,数据准备阶段,数据融合阶段和数据验证阶段对网络通信信息进行加密。实验结果表明,所提算法的信息可用性高,最大可用性可达97.7%。加密效率高,最短加密时间仅为1.9 s,充分说明了该算法具有较高的加密性能。
更新日期:2020-06-30
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