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Modeling Node Compromise Spread in Wireless Sensor Networks Using Epidemic Theory

机译:利用流行病理论对无线传感器网络中的节点危害扩散进行建模

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Motivated by recent surfacing viruses that can spread over the air interfaces, in this paper, we investigate the potential disastrous threat of node compromise spreading in wireless sensor networks. Originating from a single infected node, we assume such a compromise can propagate to other sensor nodes via communication and preestablished mutual trust. We focus on the possible epidemic breakout of such propagations where the whole network may fall victim to the attack. Based on epidemic theory, we model and analyze this spreading process and identify key factors determining potential outbreaks. In particular, we perform our study on random graphs precisely constructed according to the parameters of the network, such as distance, key sharing constrained communication and node recovery, thereby reflecting the true characteristics therein. The analytical results provide deep insights in designing potential defense strategies against this threat. Furthermore, through extensive simulations, we validate our model and perform investigations on the system dynamics.
机译:受最近可以在空中接口上传播的表面病毒的影响,本文研究了无线传感器网络中节点危害传播的潜在灾难性威胁。我们假设这种危害可以从单个受感染的节点发出,并且可以通过通信和预先建立的相互信任传播到其他传感器节点。我们关注这种传播的可能的流行突破,在这种传播中整个网络可能成为攻击的受害者。基于流行病理论,我们对这一传播过程进行建模和分析,并确定确定潜在爆发的关键因素。特别是,我们对根据网络参数(例如距离,密钥共享约束的通信和节点恢复)精确构建的随机图进行了研究,从而反映了其中的真实特征。分析结果为设计针对这种威胁的潜在防御策略提供了深刻的见识。此外,通过广泛的仿真,我们验证了我们的模型并对系统动力学进行了研究。

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