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Alibi Framework for Identifying Reactive Jamming Nodes in Wireless LAN

机译:用于识别无线局域网中的反应性干扰节点的Alibi框架

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Reactive jamming nodes are the nodes of the network that get compromised and become the source of jamming attacks. They assume to know any shared secrets and protocols used in the networks. Thus, they can jam very effectively and are very stealthy. We propose a novel framework for identifying the reactive jamming nodes in wireless LAN (WLAN). We rely on the half-duplex nature of nodes: they cannot transmit and receive at the same time. Thus, if a compromised node jams a packet, it cannot guess the content of the jammed packet. More importantly, if an honest node receives a jammed packet, it can prove that it cannot be the one jamming the packet by showing the content of the packet. Such proofs of jammed packets are called 'alibis' - the key concept of our approach. In this paper, we present an alibi framework to deal with reactive jamming nodes in WLAN. We propose a concept of alibi-safe topologies on which our proposed identification algorithms are proved to correctly identify the attackers. We further propose a realistic protocol to implement the identification algorithm. The protocol includes a BBC-based timing channel for information exchange under the jamming situation and a similarity hashing technique to reduce the storage and network overhead. The framework is evaluated in a realistic TOSSIM simulation where the simulation characteristics and parameters are based on real traces on our small-scale MICAz test-bed. The results show that in reasonable dense networks, the alibi framework can accurately identify both non-colluding and colluding reactive jamming nodes.
机译:反应性干扰节点是​​网络中受到威胁并成为干扰攻击源的节点。他们假设知道网络中使用的任何共享机密和协议。因此,它们可以非常有效地卡住并且非常隐身。我们提出了一种新颖的框架,用于识别无线局域网(WLAN)中的反应性干扰节点。我们依靠节点的半双工特性:它们不能同时发送和接收。因此,如果受感染的节点阻塞了一个数据包,它就无法猜测阻塞的数据包的内容。更重要的是,如果一个诚实节点接收到阻塞的数据包,则可以通过显示该数据包的内容来证明它不是阻塞该数据包的那个。此类拥塞数据包的证明称为“ alibis”(阿里比斯),这是我们方法的关键概念。在本文中,我们提出了一个不在场的框架来处理WLAN中的反应性干扰节点。我们提出了一种不在场安全拓扑的概念,在该概念上我们提出的识别算法被证明可以正确识别攻击者。我们进一步提出了一种现实的协议来实现识别算法。该协议包括在干扰情况下用于信息交换的基于BBC的定时信道,以及一种用于减少存储和网络开销的相似性哈希技术。该框架在真实的TOSSIM仿真中进行了评估,其中仿真特征和参数基于我们小型MICAz测试床上的真实轨迹。结果表明,在合理的密集网络中,alibi框架可以准确识别非冲突和共谋的反应干扰节点。

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