泛洪攻击下机会网络典型路由算法健壮性分析

摘要

Based on the simulation of human movement behavior in real city with Bluetooth devices, this paper quantitatively analyses effectiveness of flooding attacks with and without volunteer nodes. The functions of volunteer nodes are indicated. It evaluates the robustness of five opportunistic network routing algorithms, Direct Delivery, Epidemic, Spray and Wait, Prophet and MaxProp in detail. In the simulation, delivery ratio, delivery delay and network overhead are selected to evaluate the performance of different routing algorithms. Simulation results show that Direct Delivery routing algorithm outperforms others. It can completely resist flooding attacks. Spray and Wait algorithm is the worst and the performance can decrease to 20% in some special scenarios. The performance of other routing algorithms dynamically decreases also.%设计了评价方法及指标体系,通过对真实城市场景中带有智能蓝牙设备行人移动行为的仿真,从传输能力、传输效率和节点能耗三个方面定量分析了志愿节点的作用以及在有或没有志愿节点参与情况下泛洪攻击的效果,以此来评价Direct Delivery、Epidemic、Spray and Wait、Prophet和MaxProp共五种机会网络典型路由算法在泛洪攻击下的健壮性.结果表明Direct Delivery算法健壮性最好,能完全抵御泛洪攻击,Spray and Wait算法的健壮性最差,在某些场景下性能会下降80％以上,其他三种算法在泛洪攻击下性能会显著下降.