基于小世界的无线传感器网络病毒传播与防范策略研究

项目名称： 基于小世界的无线传感器网络病毒传播与防范策略研究

项目编号： No.61203144

项目类型： 青年科学基金项目

立项/批准年度： 2013

项目学科： 自动化学科

项目作者： 崔灵果

作者单位： 北京理工大学

项目金额： 25万元

中文摘要： 随着无线传感器网络的广泛应用，其网络安全问题日渐突出，而病毒的传播与防范又是网络安全的研究重点之一。本课题主要研究病毒在具有小世界效应的无线传感器网络中传播的动力学规律，并针对传播规律研究防范策略。通过抽象归纳法选择代表性网络拓扑模型并通过一定概率的"断边重连"或"加边"来构建无线传感器网络模型，以真实反映小世界效应；在此基础上采用侵蚀理论、统计学和微分方程分析病毒传播过程，得出无线传感器网络中的病毒传播数学解析模型；再结合图论、计算几何、对比统计学理论研究病毒在不同免疫机制和网络结构下的传播规律，提出合理的病毒防范策略；最后，利用IRIS节点上的缓冲区溢出攻击来模拟病毒在真实无线传感器网络中的传播，验证传播规律的准确性和防范策略的有效性。

中文关键词： 无线传感器网络；小世界现象；病毒传播；免疫策略；导航算法

英文摘要： With the extensive application of wireless sensor networks, the security issues are increasingly highlighted, while the epidemics and anti-virus have incurred heavy attention in the field of network security. We mainly investigate the dynamics of the epidemics and explore the immune strategies in wireless sensor networks with the small-world phenomena. First of all, with abstracting and inducing, we select the abstract of network topologies, upon which the specific small-world model of wireless sensor network is established via "reconnecting edges" or "adding edges" with a certain shortcut probability. Based on the small-world abstract, the mathematical analysis of epidemics on wireless sensor networks is given with the percolation theory, statistics and differential equations. Furthermore, with the graph theory, computational geometry and statistical theory, we study the virus propagation on network structures with various immune strategies and put forward the reasonable and effective immune mechanisms. Finally, we will simulate the virus spread on the real wireless sensor networks and verify the accuracy of the propagation laws and the efficiency of immune strategies.

英文关键词： wireless sensor networks；small world phenomenon；virus propagation；immunization strategies；navigation algorithm