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Hop-by-Hop Worm Propagation with Carryover Epidemic Model in Mobile Sensor Networks

机译:带残留流行模型的移动传感器网络逐跳蠕虫传播

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In the internet, a worm is usually propagated in a random multi-hop contact manner. However, the attacker will not likely select this random multi-hop propagation approach in a mobile sensor network. This is because multi-hop worm route paths to random vulnerable targets can be often breached due to node mobility, leading to failure of fast worm spread under this strategy. Therefore, an appropriate propagation strategy is needed for mobile sensor worms. To meet this need, we discuss a hop-by-hop worm propagation model in mobile sensor networks. In a hop-by-hop worm propagation model, benign nodes are infected by worm in neighbor-to-neighbor spread manner. Since worm infection occurs in hop-by-hop contact, it is not substantially affected by a route breach incurred by node mobility. We also propose the carryover epidemic model to deal with the worm infection quota deficiency that might occur when employing an epidemic model in a mobile sensor network. We analyze worm infection capability under the carryover epidemic model. Moreover, we simulate hop-by-hop worm propagation with carryover epidemic model by using an ns-2 simulator. The simulation results demonstrate that infection quota carryovers are seldom observed where a node’s maximum speed is no less than 20 m/s.
机译:在互联网上,蠕虫通常以随机的多跳接触方式传播。但是,攻击者不太可能在移动传感器网络中选择此随机多跳传播方法。这是因为由于节点移动性,经常会突破到随机易受攻击目标的多跳蠕虫路由路径,从而导致在此策略下快速蠕虫传播失败。因此,需要针对移动传感器蠕虫的适当传播策略。为满足此需求,我们讨论了移动传感器网络中逐跳蠕虫传播模型。在逐跳蠕虫传播模型中,良性节点被蠕虫以邻居间传播的方式感染。由于蠕虫感染发生在逐跳接触中,因此它基本上不受节点移动性引起的路由违规的影响。我们还提出了结转流行模型,以解决在移动传感器网络中采用流行模型时可能发生的蠕虫感染配额不足的问题。我们分析了结转流行模型下的蠕虫感染能力。此外,我们使用ns-2模拟器使用结转流行模型来模拟逐跳蠕虫的传播。仿真结果表明,在节点的最大速度不小于20 m / s的情况下,很少观察到感染配额残留。

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