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Physical layer authentication under intelligent spoofing in wireless sensor networks

机译：无线传感器网络中智能欺骗下的物理层身份验证

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摘要

Location based access in wireless sensor networks (WSN) are vulnerable to location spoofing attacks. In this paper, we investigate the physical layer (PHY-layer) authentication in the threat of an intelligent location spoofing attack. The intelligent attack can emulate the legitimate channel information and maximize its long-term cumulative reward. First, we analyze the feasibility of this intelligent attack and investigate how it threats to the networks. Specifically, we derive the optimal transmit power allocation and find the worst case for the defenders, namely optimal intelligent attack, in which the attacker can learn the intelligent attack action based on the beamforming with optimal transmit power allocation. To defend against such an intelligent attack with high accuracy and low overhead, we develop a cooperative PHY-layer authentication scheme. Then, we provide an in-depth analysis on the belief and derive the belief bounds and the closed-form expression for the belief threshold. Furthermore, considering the whole computation complexity and the double counting problem in a loopy graph, we propose the cooperative neighbour selection algorithm to accelerate belief convergence and reduce the overhead. Finally, the simulation results reveal that the proposed method can significantly improve the defense performance compared with the state-of-art methods. (C) 2019 Elsevier B.V. All rights reserved.
机译：无线传感器网络（WSN）中基于位置的访问容易受到位置欺骗攻击的攻击。在本文中，我们研究了在智能位置欺骗攻击威胁下的物理层（PHY层）身份验证。智能攻击可以模拟合法的频道信息，并最大化其长期累积奖励。首先，我们分析这种智能攻击的可行性，并研究它如何威胁网络。具体来说，我们得出最优的发射功率分配，并为防御者找到最坏的情况，即最优的智能攻击，在这种情况下，攻击者可以基于具有最佳发射功率分配的波束成形学习智能攻击动作。为了防御这种具有高精度和低开销的智能攻击，我们开发了一种协作PHY层身份验证方案。然后，我们对信念进行了深入分析，并得出了信念界限和信念阈值的封闭形式。此外，考虑到整个计算复杂度和循环图中的重复计数问题，我们提出了一种协同邻居选择算法，以加速信念收敛并减少开销。最后，仿真结果表明，与现有方法相比，该方法可以显着提高防御性能。 （C）2019 Elsevier B.V.保留所有权利。

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  • 来源
    《Signal processing》 |2020年第1期|107272.1-107272.13|共13页
  • 作者

    Gao Ning; Ni Qiang; Feng Daquan; Jing Xiaojun; Cao Yue;

  • 作者单位

    Southeast Univ Natl Mobile Commun Res Lab Nanjing 210096 Jiangsu Peoples R China;

    Univ Lancaster Sch Comp & Commun Lancaster LA1 4WA England;

    Shenzhen Univ Coll Elect & Informat Engn Guangdong Key Lab Intelligent Informat Proc Shenzhen 518060 Peoples R China;

    Beijing Univ Posts & Telecommun Sch Informat & Commun Engn Beijing 100876 Peoples R China;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Physical layer authentication; Intelligent location spoofing; WSN;

    机译：物理层认证;智能位置欺骗;无线传感器网络;

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