Protection Solution for an EH IoT Networks Under a Cooperative UAV Eavesdropper and Malicious Jammer Attack

Van Nhan Vo, Ha Le Vu, Nguyen Quoc Long, Hung Tran, Dang Viet-Hung, Cong Le, Tu Dac Ho
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Abstract

Secrecy and system performance are major concerns when implementing the Internet of Things (IoT) paradigm in fifth-generation (5G) communication networks. The detection capability and system performance of an energy harvesting (EH) Internet of Things (IoT) architecture are explored in the presence of an unmanned aerial vehicle (UAV) eavesdropper (UAV EAV). The communication protocol is divided into two phases as follows: 1) a friendly jammer detects the UAV EAV and the relays harvest energy from a power beacon (PB) in the first phase. 2) a ground base station (BS) sends a confidential signal to relays; the selected relay then uses its harvested energy to forward this confidential signal to IoT destinations (IDs) using the decode-and-forward (DF) technique. Simultaneously, the friendly jammer generates an artificial signal to counteract the detected UAV EAV in the second phase. In this Word, a closed-form expression for the probability of detecting the UAV EAV is derived to analyze the detection performance. Furthermore, the leakage probability and outage probability of the considered IoT architecture are determined. Finally, Monte Carlo simulations are employed to verify our approach.
无人机协同窃听和恶意干扰攻击下的EH物联网网络防护方案
在第五代(5G)通信网络中实施物联网(IoT)范式时,保密性和系统性能是主要关注的问题。在无人机窃听器(UAV EAV)存在的情况下,研究了能量收集(EH)物联网(IoT)架构的检测能力和系统性能。该通信协议分为以下两个阶段:第一阶段由友方干扰机检测无人机EAV,中继器从功率信标(PB)获取能量。2)地面基站(BS)向中继发送机密信号;然后,选定的中继使用其收集的能量使用解码转发(DF)技术将该机密信号转发到物联网目的地(id)。同时,友方干扰机在第二阶段产生一个人工信号来抵消被探测到的无人机EAV。本文推导了无人机EAV检测概率的封闭表达式,对其检测性能进行了分析。此外,还确定了所考虑的物联网架构的泄漏概率和中断概率。最后,用蒙特卡罗仿真验证了我们的方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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