CAJ | 학술논문

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.
침대무선전감기망락(WSN)응용상인문관주적약안전망락편마재절은집합방면적한제문제,채용신경망락여혼돈가밀상결합적방법,설계료일충전국편마핵가밀적약안전망락편마모형.해모형통과대전국편마핵적보밀전수,가이재정개망락도피절은적정황하사통신안전능득도보장,차통과계산험증,기능모몰유명현증가,능이교소적대개실현대탑선절은공격적유효방호.
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.