RMDM: Using Random Meta-Atoms to Send Directional Misinformation to Eavesdroppers

Fahid Hassan, Zhambyl Shaikhanov, Hichem Guerboukha, Daniel M. Mittleman, Kaushik Sengupta, Edward W. Knightly

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In this paper, we propose RMDM, Random Meta-atoms enabled Directional Misinformation, a novel system that enables a wireless transmitter to program a transmissive metasurface to send misinformation towards eavesdroppers while ensuring the correct information is received at the legitimate receiver. To do so, we design a metasurface with angular-dependent channel responses that alter the phase and amplitude of the transmitted symbol in different ways along different angular directions. We show how randomly selected groups of meta-atoms can be reconfigured so that the symbol constellation in the eavesdropper's direction is randomly transformed for each symbol. Moreover, our design includes a baseband correction, prior to transmission, to eliminate the metasurface's impact in the intended user's direction. Our experimental results show that the eavesdropper's error probability increases to almost 0.5 after an angular separation of only 4° away from the legitimate user's direction, forcing the eavesdropper to be very close to correctly intercept the information.

Original languageEnglish (US)
Title of host publication2023 IEEE Conference on Communications and Network Security, CNS 2023
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9798350339451
DOIs
StatePublished - 2023
Event2023 IEEE Conference on Communications and Network Security, CNS 2023 - Orlando, United States
Duration: Oct 2 2023Oct 5 2023

Publication series

Name2023 IEEE Conference on Communications and Network Security, CNS 2023

Conference

Conference2023 IEEE Conference on Communications and Network Security, CNS 2023
Country/TerritoryUnited States
CityOrlando
Period10/2/2310/5/23

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Computer Networks and Communications
  • Computer Vision and Pattern Recognition
  • Safety, Risk, Reliability and Quality

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