Abstract
Edge-Integrated Unmanned Aerial Vehicles (UAVs) delivery systems have demonstrated the advantage of higher efficiency and lower latency in comparison with traditional intelligent delivery systems. But with its rapid development, a series of security and privacy issues have also emerged. For instance, it is of vital importance to maintain data safety due to UAVs exchanging sensitive data with servers through public channels, attackers can easily gain access to sensitive information by launching attacks including man-in-the-middle and impersonation attacks. Additionally, the requirements of frequent authentications between UAVs and edge servers can result in increased computation overhead, while UAVs are fast-moving and resource-constrained, and excessive computational overhead can degrade the user experience. To address these challenges, this paper proposes a Two-Stage Biometric-Assisted Authentication Framework (TBAF) that enhances security and efficiency. In TBAF, a novel secret sharing method is designed to distribute storage biometric templates with protection, ensuring the secret values which are biometric templates can only be accessed by authorized parties. Additionally, the two-stage authentication protocol reduces computation and communication overhead. Extensive formal and informal security analysis confirms the superior performance of the proposed protocol compared to existing solutions.
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This work was supported by the National Natural Science Foundation of China Project (No. 61972001).
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Zhang, Z. et al. (2024). TBAF: A Two-Stage Biometric-Assisted Authentication Framework in Edge-Integrated UAV Delivery System. In: Tari, Z., Li, K., Wu, H. (eds) Algorithms and Architectures for Parallel Processing. ICA3PP 2023. Lecture Notes in Computer Science, vol 14493. Springer, Singapore. https://doi.org/10.1007/978-981-97-0862-8_11
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DOI: https://doi.org/10.1007/978-981-97-0862-8_11
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