Robustness against Byzantine Failures in Distributed Spectrum Sensing
Robustness against Byzantine Failures in Distributed Spectrum Sensing
复制标题
分布式频谱传感中针对拜占庭故障的鲁棒性
DOI：
10.1016/j.comcom.2012.07.014
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发表时间：
2012-10-01
影响因子：
6
通讯作者：
Bian, Kaigui
中科院分区：
文献类型：
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作者：
Chen, Ruiliang;Park, Jung-Min Jerry;Bian, Kaigui
分布式频谱感知（DSS）使认知无线电（CR）网络能够可靠地检测授权用户并避免对授权通信造成干扰。数据融合技术是决策支持系统的关键组成部分。我们讨论的拜占庭故障问题的背景下，数据融合，这可能是由故障传感终端或频谱感知数据伪造（SSDF）攻击。在任一情况下，不正确的频谱感测数据被报告给数据收集器，这可能导致数据融合输出的失真。我们研究了各种数据融合技术，重点是它们对拜占庭故障的鲁棒性。与现有的使用固定数量的样本的数据融合技术相比，我们提出了一种新的技术，使用可变数量的样本。所提出的技术，我们称之为加权序贯概率比测试（WSPRT），介绍了一种基于声誉的序贯概率比测试（SPRT）的机制。我们评估WSPRT通过比较它与各种数据融合技术在各种条件下。我们还讨论了实际问题时，需要考虑将融合技术应用到CR网络。我们的仿真结果表明，WSPRT是最强大的数据融合技术，被认为是对拜占庭故障。(c)2012爱思唯尔有限公司版权所有。
Distributed Spectrum Sensing (DSS) enables a Cognitive Radio (CR) network to reliably detect licensed users and avoid causing interference to licensed communications. The data fusion technique is a key component of DSS. We discuss the Byzantine Failure problem in the context of data fusion, which may be caused by either malfunctioning sensing terminals or Spectrum Sensing Data Falsification (SSDF) attacks. In either case, incorrect spectrum sensing data is reported to a data collector which can lead to the distortion of data fusion outputs. We investigate various data fusion techniques, focusing on their robustness against Byzantine Failures. In contrast to existing data fusion techniques that use a fixed number of samples, we propose a new technique that uses a variable number of samples. The proposed technique, which we call Weighted Sequential Probability Ratio Test (WSPRT), introduces a reputation-based mechanism to the Sequential Probability Ratio Test (SPRT). We evaluate WSPRT by comparing it with a variety of data fusion techniques under various conditions. We also discuss practical issues that need to be considered when applying the fusion techniques to CR networks. Our simulation results indicate that WSPRT is the most robust against Byzantine Failures among the data fusion techniques that were considered. (c) 2012 Elsevier B.V. All rights reserved.