Defending against Cross-Technology Jamming in Heterogeneous IoT Systems

Defending against Cross-Technology Jamming in Heterogeneous IoT Systems
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DOI:
10.1109/icdcs54860.2022.00073
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发表时间:
2022-07
期刊:
2022 IEEE 42nd International Conference on Distributed Computing Systems (ICDCS)
影响因子:
--
通讯作者:
Sihan Yu;ChunChih Lin;Xiaonan Zhang;Linke Guo
Sihan Yu;ChunChih Lin;Xiaonan Zhang;Linke Guo
中科院分区:
其他
文献类型:
--
作者:
Sihan Yu;ChunChih Lin;Xiaonan Zhang;Linke Guo

文献摘要

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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,网络性能总是会下降。跨技术通信(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信道方面表现出很高的成功率。在本文中,我们研究了一种新的跨技术干扰问题的分布式异构物联网系统。与传统的干扰方式相比,交叉技术干扰机具有更高的干扰功率、更宽的干扰带宽和更强的隐蔽性,这些都需要对防御机制进行全面的反思。因此,我们提出了一种混合抗干扰方案,联合考虑跳频和功率控制技术。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)来找到最佳策略。大量的真实世界的实验表明,我们的抗干扰方案的有效载荷(有效载荷数据)可以实现高达2倍和1.39倍的被动和随机抗干扰方法,分别。特别是,我们的抗干扰方案提供了78%的有效吞吐量与存在的跨技术干扰机,优于现有的无源和随机抗干扰方案设计的37.6%和54.1%。
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%.