4.7 Article

IRS-Based Wireless Jamming Attacks: When Jammers Can Attack Without Power

Journal

IEEE WIRELESS COMMUNICATIONS LETTERS
Volume 9, Issue 10, Pages 1663-1667

Publisher

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/LWC.2020.3000892

Keywords

Jamming; Array signal processing; Wireless communication; Signal to noise ratio; Interference; Optimization; Transmitters; Jamming attack; IRS; intelligent backscatter; IoT; low-power sensor networks

Funding

  1. National Natural Science Foundation of China [61901229, 61972434]
  2. Natural Science Research of Higher Education Institutions of Jiangsu Province [19KJB510008, 19KJB510009]
  3. NUPTSF [NY219012, NY219013]
  4. Shenzhen Basic Research Program [JCYJ20190807154009444]
  5. Shenzhen Talent Peacock Plan Program [KQTD2015071715073798]
  6. National Research Foundation (NRF), Singapore, through Singapore Energy Market Authority (EMA), Energy Resilience [NRF2017EWT-EP003-041, NRF2015-NRF-ISF001-2277]
  7. PCL Future Greater-Bay Area Network Facilities for Largescale Experiments and Applications [LZC0019]
  8. Singapore NRF National Satellite of Excellence, Design Science and Technology for Secure Critical Infrastructure [NSoE DeST-SCI2019-0007]
  9. A*STAR-NTU-SUTD Joint Research Grant on Artificial Intelligence for the Future of Manufacturing [RGANS1906]
  10. Wallenberg AI
  11. Autonomous Systems and Software Program and Nanyang Technological University (WASP/NTU) [M4082187(4080)]
  12. National Research Foundation of Korea (NRF) - Korean Government (MSIT) [2014R1A5A1011478]

Ask authors/readers for more resources

This letter proposes to use Intelligent Reflecting Surface (IRS) as a green jammer to attack a legitimate communication without using any internal energy to generate jamming signals. In particular, the IRS is used to intelligently reflect the signals from the legitimate transmitter to the legitimate receiver (LR) to guarantee that the received signals from direct and reflecting links can be added destructively, which thus diminishes the Signal-to-Interference-plus-Noise Ratio (SINR) at the LR. To minimize the received signal power at the LR, we consider the joint optimization of magnitudes of reflection coefficients and discrete phase shifts at the IRS. Based on the block coordinate descent, semidefinite relaxation, and Gaussian randomization techniques, the solution can be obtained efficiently. Through simulation results, we show that by using the IRS-based jammer, we can reduce the signal power received at the LR by up to 99%. Interestingly, the performance of the proposed IRS-based jammer is even better than that of the conventional active jamming attacks in some scenarios.

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