无线传感器网络中恶意软件传播研究

从平面无线传感器网络的拓扑结构、无线共享通信及安全机制等固有特征出发，对无线传感器网络上的恶意软件传播动力学进行研究。首先，使用随机几何图建立平面无线传感器网络模型；然后，基于元胞自动机理论建立恶意软件SI（Susceptible—Infected）传播模型，该模型充分考虑无线传感器网络固有特征和传播特征，模型建立引入MAC机制和随机密钥预分布方案。分析和仿真表明，无线传感器网络的空间局域化结构特征、无线信道共享机制和安全管理应用主导了传播增长效果，限制了恶意软件传播速度，降低了在无线传感器网络中大规模流行恶意软件的风险。文中提出的模型能够描述无线传感器网络中恶意软件传播行为，为建立无线传感器网络安全防御机制提供了基础。

Investigating Malware Propagation over Wireless Sensor Networks

Considering the characteristics of topology structure, wireless channel sharing and security management strategies in wireless sensor networks （WSN）, the dynamic behavior of malware propagation in flat WSN is analyzed and investigated. First, a WSN model is established using random geometric graph （RGG）. Then ,a malware SI spreading model for malware propagation is proposed based on 2-D cellular automata （CA） theory. Combining the inherent characteristics for WSN with spreading property of realware, the MAC mechanism and the random key pre-distribution scheme are introduced into the spreading model. The analysis and simulations show that these factors of the spatial topology of WSN,wireless channel sharing characteristic and the application in security management dominate the effects of increasing infectivity and limit the spread of the malware. The proposed model can describe accurately the dynamic behavior of malware propagation over WSN, which can help for developing robust and efficient defense system on WSN.