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Intelligent reflecting surface backscatter-enabled physical layer security enhancement via deep reinforcement

Manzoor Ahmed1,2, Touseef Hussain3, Muhammad Shahwar4

  • 1Artificial Intelligence Industrial Technology, Research Institute, Hubei Engineering University, Xiaogan City, China.

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Summary

This study introduces a novel intelligent reflecting surface (IRS) strategy for enhanced wireless security. Deep-PLS, a deep reinforcement learning approach, optimizes beamforming to thwart eavesdroppers and improve legitimate user communication.

Keywords:
Backscatter communicationDeep deterministic policy gradientDeep reinforcement learningDeep-PLSEavesdropperJoint-beamformingMalicious jammerSecrecy rate

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Area of Science:

  • Wireless Communication Security
  • Intelligent Reflecting Surfaces (IRS)
  • Physical Layer Security (PLS)

Background:

  • Jamming attacks and eavesdropper threats compromise wireless communication security.
  • Intelligent Reflecting Surfaces (IRS) offer a promising solution for mitigating these threats.
  • Integrating IRS into backscatter communication systems can enhance signal reception and secrecy rates for legitimate users (LUs).

Purpose of the Study:

  • To introduce a novel strategy for wireless communication security using IRS.
  • To enhance the secrecy rate of legitimate users (LUs) by mitigating jamming and eavesdropper threats.
  • To develop an optimal beamforming policy for thwarting eavesdroppers in dynamic environments.

Main Methods:

  • Strategic deployment of IRS to redirect jamming signals and protect desired communication signals.
  • Joint optimization of IRS reflection coefficients and base station (BS) active beamforming.
  • Development of a deep reinforcement learning (DRL) approach named Deep-PLS to determine optimal beamforming policies.

Main Results:

  • The proposed Deep-PLS strategy effectively mitigates jamming attacks and eavesdropper threats.
  • Dynamic adjustment of IRS reflection coefficients and BS active beamforming significantly enhances the secrecy rate of LUs.
  • The strategy demonstrates superior performance compared to traditional IRS methods and other benchmark strategies.

Conclusions:

  • The novel IRS-based strategy, optimized via Deep-PLS, provides a robust solution for wireless communication security.
  • The approach effectively improves secrecy performance by intelligently managing signal reflection and beamforming.
  • Deep-PLS offers a powerful tool for securing wireless communications against evolving threats.