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Secrecy capacity against adaptive eavesdroppers in a random wireless network using friendly jammers and protected zone
Journal of Network and Computer Applications ( IF 8.7 ) Pub Date : 2020-05-15 , DOI: 10.1016/j.jnca.2020.102698
J.E. Giti , A. Sakzad , B. Srinivasan , J. Kamruzzaman , R. Gaire

In this paper, we consider deceptive friendly jammers in a half-duplex random wireless network against a group of adaptive eavesdroppers. The destinations, eavesdroppers and friendly jammers are distributed according to homogeneous Poisson point process (HPPP). To the best of our knowledge, we are the first to study such a system model. As we may combine hostile jamming and passive eavesdropping, the secrecy of legitimate communication might be compromised. To combat this and improve secrecy of transmission, a group of friendly jammers thus transmit a source-like signal to deceive the eavesdroppers and try to force them to be passive listeners as much as possible. We derive the secrecy capacity for this scenario. The secrecy performance is evaluated for different parameters and with a secrecy protected zone surrounding the source. Performance evaluation through illustrative numerical results demonstrates that the friendly jammers can enhance the secrecy of a random wireless network. The advantages of friendly jammers are particularly prominent if the secrecy protected zone is very small and/or the node intensity of the destinations is low. The results show that the friendly jammers can restore the secrecy in a hostile environment if sufficient friendly jammers (e.g., 0.01 km−2 for the provided system model) are hired.



中文翻译:

使用友好干扰器和受保护区域的随机无线网络中针对自适应窃听者的保密能力

在本文中,我们考虑了半双工随机无线网络中针对一组自适应窃听者的欺骗性友好干扰。目的地,窃听者和友好干扰者是根据均质泊松点过程(HPPP)分配的。据我们所知,我们是第一个研究这种系统模型的人。由于我们可能将敌对性干扰和被动窃听相结合,因此合法通信的保密性可能会受到损害。为了解决这个问题并提高传输的保密性,一组友好的干扰器因此会发送类似源的信号来欺骗窃听者,并试图迫使他们尽可能成为被动的听众。我们得出这种情况的保密能力。针对不同的参数以及在源周围的保密保护区域,评估了保密性能。通过说明性数值结果进行的性能评估表明,友好的干扰器可以增强随机无线网络的保密性。如果保密保护区很小和/或目的地的节点强度很低,友好干扰器的优势将特别突出。结果表明,如果有足够的友好干扰源(例如,0.01 km,则在友好的干扰环境下,友好干扰源可以恢复保密性)对于提供的系统模型,请使用−2

更新日期:2020-05-15
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