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<p>The development of 6G-ready internet of things (IoT) networks has raised urgent requirements for lightweight and secure authentication schemes that are capable to work efficiently in the resource-limited mobile edge computing (MEC) environments. Hybrid RSA-ECC-based protocols have also been proposed, like the RAM-MEN protocol, which involves ECC, PUFs, and fuzzy extractors, for efficient mutual authentication, where it uses timestamp-based freshness and static helper data that may be difficult to manage in the scenario of asynchronous or insider-sensitive environments. To tackle these challenges, we propose an enhanced design of RAM-MEN that removes synchronization dependency while increasing the resistance against insider threats by using nonce-driven freshness verification and hardware-locked key generation. The scheme establishes the session-key indistinguishability in the Random Oracle (ROR) model formally and also realizes BAN logic verified logical correctness. Experimental results show that the proposed protocol reduces computation cost by 25% and communication overhead by 15.5%, respectively, compared with related work at almost no extra storage on the trajectory data collector’s side. These findings validate the applicability of the proposed framework for secure and scalable authentication in emerging 6G-accommodated IoT Edge infrastructure deployments.</p>

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Mitigating insider and synchronization risks with optimized software-based authentication for IoT-Enabled 6G edge networks

  • 期刊论文

  • 发表日期：

    2026年6月15日

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  • Nada Mohammed Hassan Moter,
  • Jalal M. H. Altmemi,
  • Bushra Abdullah Shtayt,
  • Mahmood A. Al-Shareeda

摘要

The development of 6G-ready internet of things (IoT) networks has raised urgent requirements for lightweight and secure authentication schemes that are capable to work efficiently in the resource-limited mobile edge computing (MEC) environments. Hybrid RSA-ECC-based protocols have also been proposed, like the RAM-MEN protocol, which involves ECC, PUFs, and fuzzy extractors, for efficient mutual authentication, where it uses timestamp-based freshness and static helper data that may be difficult to manage in the scenario of asynchronous or insider-sensitive environments. To tackle these challenges, we propose an enhanced design of RAM-MEN that removes synchronization dependency while increasing the resistance against insider threats by using nonce-driven freshness verification and hardware-locked key generation. The scheme establishes the session-key indistinguishability in the Random Oracle (ROR) model formally and also realizes BAN logic verified logical correctness. Experimental results show that the proposed protocol reduces computation cost by 25% and communication overhead by 15.5%, respectively, compared with related work at almost no extra storage on the trajectory data collector’s side. These findings validate the applicability of the proposed framework for secure and scalable authentication in emerging 6G-accommodated IoT Edge infrastructure deployments.