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A Lightweight Reputation System for UAV Networks

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Security and Privacy in Cyber-Physical Systems and Smart Vehicles (SmartSP 2023)

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Abstract

Unmanned Aerial Vehicles (UAVs) have become indispensable components in the modern Internet of Things (IoT) ecosystem and are increasingly popular for various applications, including delivery, transporting, inspection, and mapping. However, the reliability, security, and privacy of UAV devices are among the public’s top concerns as they operate close to each other and other objects. This paper proposes a LIghtweight Blockchain-based REputation (LIBRE) system to improve the reliability and performance of a UAV network by monitoring, tracking, and selecting the most appropriate individuals to carry out tasks. In the LIBRE system, a reputation score is assigned to each newly registered UAV device with limited network access. Exclusive access is, therefore, given once the reputation is ascertained based on the behavior and the feedback given by peer nodes that have interacted with it. An algorithm was proposed to calculate the reputation score updated in the Blockchain to provide fairness, immutability, and auditability. A proof-of-concept prototype of LIBRE system architecture was implemented on a private Ethereum Blockchain, and the extensive experimental study has validated the effectiveness of the LIBRE scheme.

This work was partially supported by the U.S. National Science Foundation (NSF) under Grant No. 2141468, and the U.S. Air Force Research Laboratory (AFRL) Summer Faculty Fellowship Program (SFFP) via contracts FA8750-15-3-6003, FA9550-15-001, and FA9550-20-F-0005. The views and conclusions contained herein are those of the authors and should not be interpreted as necessarily representing the official policies or endorsements, either expressed or implied, of the U. S. Air Force.

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Authors and Affiliations

  1. Binghamton University, Binghamton, NY, 13902, USA

    Simeon Ogunbunmi, Mohsen Hatmai & Yu Chen

  2. Michigan Technological University, Houghton, MI, 49931, USA

    Ronghua Xu

  3. The U.S. Air Force Research Laboratory, Rome, NY, 13441, USA

    Erik Blasch, Erika Ardiles-Cruz & Alexander Aved

  4. Intelligent Fusion Tech, Inc., Germantown, MD, 20876, USA

    Genshe Chen

Authors
  1. Simeon Ogunbunmi
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  2. Mohsen Hatmai
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  3. Ronghua Xu
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  4. Yu Chen
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  5. Erik Blasch
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  6. Erika Ardiles-Cruz
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  7. Alexander Aved
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  8. Genshe Chen
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Corresponding author

Correspondence to Yu Chen .

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Editors and Affiliations

  1. Binghamton University, Binghamton, NY, USA

    Yu Chen

  2. National Taiwan University, Taipei, Taiwan

    Chung-Wei Lin

  3. Michigan Technological University, Houghton, MI, USA

    Bo Chen

  4. Northwestern University, Evanston, IL, USA

    Qi Zhu

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Ogunbunmi, S. et al. (2024). A Lightweight Reputation System for UAV Networks. In: Chen, Y., Lin, CW., Chen, B., Zhu, Q. (eds) Security and Privacy in Cyber-Physical Systems and Smart Vehicles. SmartSP 2023. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 552. Springer, Cham. https://doi.org/10.1007/978-3-031-51630-6_8

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  • DOI: https://doi.org/10.1007/978-3-031-51630-6_8

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-51629-0

  • Online ISBN: 978-3-031-51630-6

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