基于复杂网络的车载自组织网络脆弱性分析

车载自组织网络(VANET)作为智能交通的重要基础应用，其安全稳定地运行是交通系统乃至社会经济可持续发展的需要。以最大连通度、连通分支平均规模、全局网络效率等参数为脆弱性测度指标，基于复杂网络理论，应用车辆仿真软件(VanetMobiSim)建立了VANET网络拓扑模型，详细研究了在随机攻击和蓄意攻击模式下脆弱性量化指标随节点移除比例的变化关系；通过仿真实验分析了节点密度、信号辐射半径及不同攻击策略对VANET脆弱性的影响。仿真结果表明:VANET在蓄意攻击下比较脆弱，基于节点介数的蓄意攻击效能最强；节点密度、信号辐射半径越小，VANET连通性越差，网络越脆弱。所提方法和结果为VANET拓扑控制优化和网络管理决策提供了理论依据。 

Vulnerability of vehicular ad hoc network based on complex network

As an important fundamental application of intelligent traffic system, the safe and stable operation of Vehicular Ad Hoc Network (VANET) is indispensable for the transportation system and even the sustainable development of social economy. The largest connected degree, average size of connected components and global network efficiency were used as the vulnerability evaluation metrics for VANET. Based on complex network theory, the VANET simulation model was established through vehicle simulation software (VanetMobiSim). Then, the relationship between the quantitative index of vulnerability and the node removal ratio under random attacks and intentional attacks was analyzed in detail. Furthermore, the influence of the density of nodes, signal radiation radius and patterns of attack on VANET vulnerability was analyzed by simulation experiment. The experimental results show that the VANET has a high vulnerability under intentional attacks; the intentional attacks based on node betweenness destroyed the networks most strongly. The smaller node density and signal radiation radius are, the worse VANET connected degree is and the more vulnerable the network is. The research methodology and results provide the theoretical basis for VANET topology control optimization and network management decision-making.