全局编码核加密的弱安全网络编码模型

Weakly Secure Network Coding Model Based on Global Encoding Kernel Encryption

针对无线传感器网络(WSN)应用上人们关注的弱安全网络编码在窃听集合方面的限制问题,采用神经网络与混沌加密相结合的方法,设计了一种全局编码核加密的弱安全网络编码模型。该模型通过对全局编码核的保密传输,可以在整个网络都被窃听的情况下使通信安全能得到保障,且通过计算验证,其能耗没有明显增加,能以较小的代价实现对搭线窃听攻击的有效防护。

The limitation of weakly security network coding against eavesdrop group is paid attention for its appli- cations in Wireless Sensor Networks （WSNs）. According to the encoding matrix＇s principle, a weakly secure net- work coding model based on global encoding kernel encryption is designed through using neural network integrat- ed with chaos-based encryption technology. By security transmission the global encoding kernel, secure commu- nication is possible in a environment where all the channels are eavesdropped in a communication network. Data simulation shows that the model has a little increase in energy consumption and it has a sharp improvement on protecting weakly security network against eavesdropping with a small cost on the energy consumption.