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<p>The evolution toward sixth-generation (6G) wireless communication aims to deliver ultra-reliable, low-latency, and energy-efficient connectivity with unprecedented data rates. Reconfigurable Intelligent Surfaces (RIS) have emerged as a transformative technology that can intelligently control the wireless propagation environment by dynamically altering signal reflections. However, the integration of RIS in 6G introduces new challenges in maintaining data security, privacy, and resilience against eavesdropping. This paper proposes an AI-driven RIS beamforming and trust-enhancement framework for secure 6G networks. The system leverages deep reinforcement learning (DRL) to optimize phase-shift configurations in real time while ensuring communication secrecy against adversarial attacks. A blockchain-assisted trust mechanism is also integrated to validate control information among distributed RIS units. Simulation results demonstrate improved spectral efficiency, reduced bit error rate, and enhanced secrecy capacity compared to conventional RIS-assisted and 6G secure communication models.</p>

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AI-Enabled Reconfigurable Intelligent Surfaces for Secure 6G Networks

  • 期刊论文

  • 发表日期：

    2026年7月1日

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  • Manjeet Singh,
  • Abhay Bindle,
  • Preeti Singla,
  • Sourabh Tiwari

摘要

The evolution toward sixth-generation (6G) wireless communication aims to deliver ultra-reliable, low-latency, and energy-efficient connectivity with unprecedented data rates. Reconfigurable Intelligent Surfaces (RIS) have emerged as a transformative technology that can intelligently control the wireless propagation environment by dynamically altering signal reflections. However, the integration of RIS in 6G introduces new challenges in maintaining data security, privacy, and resilience against eavesdropping. This paper proposes an AI-driven RIS beamforming and trust-enhancement framework for secure 6G networks. The system leverages deep reinforcement learning (DRL) to optimize phase-shift configurations in real time while ensuring communication secrecy against adversarial attacks. A blockchain-assisted trust mechanism is also integrated to validate control information among distributed RIS units. Simulation results demonstrate improved spectral efficiency, reduced bit error rate, and enhanced secrecy capacity compared to conventional RIS-assisted and 6G secure communication models.