利用干扰器:跳频有效吗?

K. Pelechrinis, Christos Koufogiannakis, S. Krishnamurthy
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引用次数: 49

摘要

跳频是缓解干扰攻击影响的最普遍的方法。在本文中,我们提供了一个新颖的,测量驱动的博弈论框架,该框架捕获了通信链路和对抗性干扰机之间的相互作用,可能具有多个干扰设备,在采用跳频(FH)的无线网络中。该框架可用于量化跳频作为干扰对抗的有效性。我们的模型考虑了影响上述相互作用的两个重要因素:(a)可供使用的正交信道的数量和(b)这些正交频带之间的频率间隔。如果后者很小,则两个相邻通道(认为是正交的)之间的能量溢出很高;因此,在与合法通信使用的正交频带相邻的频带上的干扰器可能非常有效。我们考虑了这两个因素,并使用我们的框架,我们提供了主动跳频性能的界限,以减轻干扰器的影响。我们工作的主要贡献是:(a)构建了一个测量驱动的博弈论框架,该框架模拟了使用跳频的干扰机和通信链路之间的相互作用。(b)在我们的室内测试台上进行大量实验,以量化干扰器在802.11a/g网络中的影响。(c)应用我们的架构,量化在不同802.11网络配置下主动跳频的效能。(d)正式推导802.11网络中链路和干扰器的最佳策略。我们的研究结果表明,在当前的802.11网络中,跳频在应对干扰攻击方面很大程度上是不够的。特别是,我们表明,如果当前的系统支持数百个额外的信道,跳频将形成一个强大的干扰对策1。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Gaming the jammer: Is frequency hopping effective?
Frequency hopping has been the most popularly considered approach for alleviating the effects of jamming attacks. In this paper, we provide a novel, measurement-driven, game theoretic framework that captures the interactions between a communication link and an adversarial jammer, possibly with multiple jamming devices, in a wireless network employing frequency hopping (FH). The framework can be used to quantify the efficacy of FH as a jamming countermeasure. Our model accounts for two important factors that affect the aforementioned interactions: (a) the number of orthogonal channels available for use and (b) the frequency separation between these orthogonal bands. If the latter is small, then the energy spill over between two adjacent channels (considered orthogonal) is high; as a result a jammer on an orthogonal band that is adjacent to that used by a legitimate communication, can be extremely effective. We account for both these factors and using our framework we provide bounds on the performance of proactive frequency hopping in alleviating the impact of a jammer. The main contributions of our work are: (a) Construction of a measurement driven game theoretic framework which models the interactions between a jammer and a communication link that employ FH. (b) Extensive experimentation on our indoor testbed in order to quantify the impact of a jammer in a 802.11a/g network. (c) Application of our framework to quantify the efficacy of proactive FH across a variety of 802.11 network configurations. (d) Formal derivation of the optimal strategies for both the link and the jammer in 802.11 networks. Our results demonstrate that frequency hopping is largely inadequate in coping with jamming attacks in current 802.11 networks. In particular, we show that if current systems were to support hundreds of additional channels, FH would form a robust jamming countermeasure1.
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