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Cyber-physical systems (CPS) generally refer to complex systems with multiple dimensions that combine computation and communication technologies with physical environment interactions. Such systems are widely accepted in smart agriculture, military applications, and other life scenarios. The Internet of drones as a CPS presents various security issues, vulnerabilities, and dangers for customers. Recently, we proposed a PUF-based semi-centralized authentication scheme for Drone-to-Drone communication to secure such networks. Our previous scheme has presented a significant improvement in computation and communication overheads. However, it can encounter difficulties in managing large networks with thousands of drones. In this paper, we provide an improved authentication scheme for peer-to-peer drone communication that mitigates scalability issues. Our protocol significantly improves computation cost, requiring only 0.172 ms while preserving security and scalability. It also necessitates an acceptable amount of communication overhead compared to similar protocols.

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Improved Computational Diffie-Hellman-Based Mechanism for Cyber-Physical Security

  • 章节

  • 发表日期：

    2026年

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  • Souhayla Dargaoui,
  • Abdeslem Blali,
  • Mourade Azrour,
  • Ahmad El Allaoui,
  • Fatima Amounas,
  • Azidine Guezzaz,
  • Abdulatif Alabdulatif

摘要

Cyber-physical systems (CPS) generally refer to complex systems with multiple dimensions that combine computation and communication technologies with physical environment interactions. Such systems are widely accepted in smart agriculture, military applications, and other life scenarios. The Internet of drones as a CPS presents various security issues, vulnerabilities, and dangers for customers. Recently, we proposed a PUF-based semi-centralized authentication scheme for Drone-to-Drone communication to secure such networks. Our previous scheme has presented a significant improvement in computation and communication overheads. However, it can encounter difficulties in managing large networks with thousands of drones. In this paper, we provide an improved authentication scheme for peer-to-peer drone communication that mitigates scalability issues. Our protocol significantly improves computation cost, requiring only 0.172 ms while preserving security and scalability. It also necessitates an acceptable amount of communication overhead compared to similar protocols.