移动无线传感网恶意数据包传播随机模型  

A Stochastic Model of Malicious Data Packet Propagation in Mobile Wireless Sensor Networks

作　　者：王小明[1] 李成博[1] 李英姝[2,3] 

机构地区：[1]陕西师范大学计算机科学学院,西安710062 [2]佐治亚州立大学计算机系,美国亚特兰大30303 [3]哈尔滨工业大学计算机科学与技术学院,哈尔滨150001

出　　处：《电子与信息学报》2013年第6期1290-1297,共8页Journal of Electronics & Information Technology

基　　金：国家自然科学基金(60970054;61173094)资助课题

摘　　要：该文基于随机元胞自动机理论研究移动无线传感器网络中恶意数据包的传播行为。依据移动无线传感器网络的信息扩散机制,设计节点移动模型、无线信道分配算法、信号干扰模型和恶意数据包传播模型,定义移动传感器网络环境下的元胞空间、元胞邻域、元胞状态以及状态转换规则,提出移动无线传感器网络中恶意数据包传播的随机元胞自动机模型,研究在不确定环境下恶意数据包传播的时空特征。研究结果表明该模型能够有效预测恶意数据包传播的趋势和空间分布状态,有效克服基于马尔科夫随机场理论、常微分方程或差分方程建立的恶意数据包传播模型而无法描述恶意数据包传播的空间分布状态的不足。This paper investigates the propagation pattern of malicious data packets in Mobile Wireless Sensor Networks （MWSN） through employing the stochastic cellular automata. The corresponding network model, channel allocation mechanism, signal interference model and malicious packet propagation model are designed based on information communication characteristics of MWSN. The new cellular space, neighborhood and states as well as state transition rules are defined. Then a stochastic cellular automaton model for modeling the propagation process of malicious packets in MWSN is proposed to study the spatial-temporal behavior characteristics of malicious data packet propagation in the uncertain environment. The results show that the proposed model can efficiently predict the propagation trend and the spatial distribution state of malicious data packets in MWSN, and overcome the disadvantages that no one of the Markov Random Field, the differential equation and the difference equation can describe the spatial distribution state of malicious data packet propagation in MWSN.

关 键 词：移动无线传感器网络 恶意数据包 元胞自动机 传播模型 

分 类 号：TP393[自动化与计算机技术—计算机应用技术]