异构超密度网络数据传输安全量化方法研究

Research on the Security Quantification Method of Data Transmission in Heterogeneous Super Density Network

针对超密度网络的规模较大,具有连接形式多样、终端分布不均等特性,容易遭到不轨行为的攻击,数据传输安全性得不到保障,提出异构超密度网络数据传输安全量化方法。分析异构超密度系统的结构,获取在安全网络环境下的传输速率,探究PPP与GPP两种分布式传输干扰原理;为减少损失选择安全、快速的传输信道,利用量化器将数据传输到协议转换器,并采用扇形区域法去除量化误差,构建量化模型;通过指标值获取、理想值评估与指标的无量纲化处理实现传输数据的安全量化。仿真结果表明,上述方法量化准确度更高,结合量化值可以实现数据安全传输。

At present,the super density network has various connection forms and unequal distribution of terminals,so it is easy to be attacked by the abnormal behavior,and the data transmission security cannot be guaranteed.This article puts forward a quantification method of data transmission security in heterogeneous super density network.This article analyzed the structure of heterogeneous super density system and obtained the transmission rate in security network environment.The principles of PPP and GPP distributed transmission interference were explored.In order to reduce the loss and select a security and fast transmission channel,the quantizer was used to transmit the data to the protocol converter,and then the sector domain method was used to remove the quantization error and build the quantization model.Finally,the security quantification of transmission data was achieved via calculation of index,evaluation of ideal value and the index dimensionless.Simulation results show that the proposed method has higher quantization accuracy.Meanwhile,the data can be transmitted by combining with the quantization value.