一种具有GAF分簇结构的无线传感器网络中恶意软件传播模型

A Malware Propagation Model With GAF-Based Clustering in Wireless Sensor Network

传输环境和部署环境的开放性使无线传感器网络(WSN)的安全问题变得尤为重要,基于二维元胞自动机提出恶意软件SIR(susceptible-infected-recovered)传播模型,研究具有GAF分簇结构的WSN中恶意软件的传播动力学特征。研究结果表明:分簇的无线传感器网络仍然具有空间局域化结构特征,分簇不但能够降低各传感节点的能量消耗,也能够有效抑制恶意软件的传播,降低了病毒大规模传播的风险。但同时发现,簇头选举期间病毒传播速度有加速趋势。

Wireless sensor network（WSN） is often deployed in open environment,and uses wireless channel for data transmission,so the security in the network is very important.A SIR（susceptible-infected-recovered） model for malware propagation based on 2-Dcellular automata is proposed.Malware propagation in GAF-based clustering WSN is discussed.Analysis and simulation results show that the clustering WSN still process spatial localization,and clustering can reduce the energy consumption of each sensor node at the same time effectively restrain the malware propagation.It also shows that malware propagation will be accelerated in the cluster head selecting period.