Defending against Cross-Technology Jamming in Heterogeneous IoT Systems

Sihan Yu, ChunChih Lin, Xiaonan Zhang, Linke Guo
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引用次数: 1

Abstract

The wide deployment of IoT devices has resulted in a critical shortage of spectrum resources. Many IoT devices coexist on the same spectrum band, where the network performance is always degraded. As a promising solution, the Cross-Technology Communication (CTC) enables the direct communication among heterogeneous IoT devices. Unfortunately, the emerging cross-technology attacks have demonstrated their high success rates in terms of spoofing the end IoT devices or jamming the communication channels. In this paper, we investigate a novel cross-technology jamming issue for a distributed heterogeneous IoT system. Compared with traditional jamming methods, the cross-technology jammer has a much higher jamming power, wider jamming bandwidth, and stronger stealthiness, all of which deserve a complete re-thinking of defensive mechanisms. Therefore, we propose a hybrid anti-jamming scheme that jointly considers frequency hopping and power control techniques. Specifically, we model the anti-jamming process as a Markov Decision Process (MDP) and adopt Deep Q-Network (DQN) to find the optimal strategy. Extensive real-world experiments show that the goodput (payload data) of our anti-jamming scheme can achieve up to 2X and 1.39X than the passive and random anti-jamming approaches, respectively. In particular, our anti-jamming scheme provides 78% of goodput with the presence of a cross-technology jammer, outperforming existing passive and random anti-jamming scheme designs at 37.6% and 54.1%.
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防御异构物联网系统中的跨技术干扰
物联网设备的广泛部署导致频谱资源严重短缺。许多物联网设备共存于同一频段,网络性能总是下降。跨技术通信(Cross-Technology Communication, CTC)是一种很有前途的解决方案,可以实现异构物联网设备之间的直接通信。不幸的是,新兴的跨技术攻击在欺骗终端物联网设备或干扰通信渠道方面显示出很高的成功率。在本文中,我们研究了分布式异构物联网系统的一种新的跨技术干扰问题。与传统干扰方式相比,跨技术干扰具有更高的干扰功率、更宽的干扰带宽和更强的隐身性,值得对防御机制进行彻底的反思。因此,我们提出了一种综合考虑跳频和功率控制技术的混合抗干扰方案。具体来说,我们将抗干扰过程建模为马尔可夫决策过程(MDP),并采用深度q -网络(DQN)来寻找最优策略。大量的实际实验表明,我们的抗干扰方案的有效载荷数据分别比无源和随机抗干扰方法高2倍和1.39倍。特别是,我们的抗干扰方案在存在交叉技术干扰器的情况下提供了78%的良好性能,优于现有的无源和随机抗干扰方案设计,分别为37.6%和54.1%。
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