"Borrowing Arrows with Thatched Boats": The Art of Defeating Reactive Jammers in IoT Networks

Dinh Thai Hoang, Diep N. Nguyen, Mohammad Abu Alsheikh, Shimin Gong, Eryk Dutkiewicz, Dusit Niyato, Zhu Han

Research output: Contribution to journalArticlepeer-review

21 Citations (Scopus)


In this article, we introduce a novel deception strategy inspired by the "Borrowing Arrows with Thatched Boats" strategy, one of the most famous military tactics in history, in order to defeat reactive jamming attacks for low-power IoT networks. Our proposed strategy allows resource-constrained IoT devices to be able to defeat powerful reactive jammers by leveraging their own jamming signals. More specifically, by stimulating the jammer to attack the channel through transmitting fake transmissions, the IoT system can not only undermine the jammer's power, but also harvest energy or utilize jamming signals as a communication means to transmit data through using RF energy harvesting and ambient backscatter techniques, respectively. Furthermore, we develop a low-cost deep reinforcement learning framework that enables the hardware-constrained IoT device to quickly obtain an optimal defense policy without requiring any information about the jammer in advance. Simulation results reveal that our proposed framework can not only be very effective in defeating reactive jamming attacks, but also leverage a jammer's power to enhance system performance for the IoT network.

Original languageEnglish
Pages (from-to)79-87
Number of pages9
JournalIEEE Wireless Communications
Issue number3
Publication statusPublished - Jun 2020


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