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Modeling, Evaluation and Detection of Jamming Attacks in Time-Critical Wireless Applications

机译:时间紧迫的无线应用中的干扰攻击的建模,评估和检测

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Recently, wireless networking for emerging cyber-physical systems, in particular the smart grid, has been drawing increasing attention in that it has broad applications for time-critical message delivery among electronic devices on physical infrastructures. However, the shared nature of wireless channels unavoidably exposes the messages in transit to jamming attacks, which broadcast radio interference to affect the network availability of electronic equipments. An important, yet open research question is how to model and detect jamming attacks in such wireless networks, where communication traffic is more time-critical than that in conventional data-service networks, such as cellular and WiFi networks. In this paper, we aim at modeling and detecting jamming attacks against time-critical wireless networks with applications to the smart grid. In contrast to communication networks where packets-oriented metrics, such as packet loss and throughput are used to measure the network performance, we introduce a new metric, message invalidation ratio, to quantify the performance of time-critical applications. Our modeling approach is inspired by the similarity between the behavior of a jammer who attempts to disrupt the delivery of a time-critical message and the behavior of a gambler who intends to win a gambling game. Therefore, by gambling-based modeling and real-time experiments, we find that there exists a phase transition phenomenon for successful time-critical message delivery under a variety of jamming attacks. That is, as the probability that a packet is jammed increases from 0 to 1, the message invalidation ratio first increases slightly, then increases dramatically to 1. Based on analytical and experimental results, we design the Jamming Attack Detection based on Estimation (JADE) scheme to achieve robust jamming detection, and implement JADE in a wireless network for power substations in the smart grid.
机译:最近,用于新兴的网络物理系统(尤其是智能电网)的无线网络受到了越来越多的关注,因为它在物理基础设施上的电子设备之间具有时间紧迫的消息传递的广泛应用。然而,无线信道的共享性质不可避免地使传输中的消息暴露于干扰攻击中,该干扰攻击广播无线电干扰以影响电子设备的网络可用性。一个重要但尚未解决的研究问题是如何在这种无线网络中建模和检测干扰攻击,在这种无线网络中,通信流量比常规数据服务网络(如蜂窝和WiFi网络)的通信时间更为紧迫。在本文中,我们旨在建模和检测针对时间紧迫的无线网络的干扰攻击,并将其应用于智能电网。与使用面向分组的度量标准(例如,分组丢失和吞吐量)来衡量网络性能的通信网络相反,我们引入了一种新的度量标准,即消息无效率,以量化对时间要求严格的应用程序的性能。我们的建模方法的灵感来自试图干扰时间紧迫消息传递的干扰者行为与打算赢得赌博游戏的赌徒行为之间的相似性。因此,通过基于赌博的建模和实时实验,我们发现在各种干扰攻击下,存在一种成功的对时间要求严格的消息传递的相变现象。也就是说,随着数据包被阻塞的概率从0增加到1,消息无效率首先略有增加,然后急剧增加到1。基于分析和实验结果,我们设计了基于估计的干扰攻击检测(JADE)该方案可实现鲁棒的干扰检测,并在智能电网中的变电站无线网络中实现JADE。

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