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PUFloc: PUF and Location Based Hierarchical Mutual Authentication Protocol for Surveillance Drone Networks

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Ubiquitous Security (UbiSec 2021)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1557))

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Abstract

The security hazards in the digital sky of drones urges for lightweight and secure defense mechanisms against several cyber-attacks on drone networks. The main issues in a surveillance drone network are identification of valid drones, maintaining boundaries and information security along with physical security. To address these issues we are proposing a lightweight and secure drone-to-ground station and drone-to-drone mutual authentication protocol, PUFloc, using Physical unclonable functions (PUFs) and drone location data. PUFloc ensures attack resiliency and fail safe operation and uses only hash functions, XOR operations, PUF and random number generators. This is the first work that addresses physical security along with location validation of drones for mutually authenticating the drone with the ground station with minimum resource overheads and maximum security. Formal security analysis is done using random oracle model and ProVerif tool and informal security analysis also proves the resistance of our protocol against several possible attacks. FPGA implementation of the major cryptographic operations to estimate the power consumption and resource utilization show that the operations are lightweight to be implemented on drones. The analysis of performance and security and their comparison with existing works showcase the merit of PUFloc over other protocols.

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Author information

Authors and Affiliations

  1. Indian Institute of Information Technology and Management-Kerala (IIITM-K), Trivandrum, Kerala, India

    Aiswarya S. Nair

  2. Cochin University of Science and Techology (CUSAT), Cochin, Kerala, India

    Aiswarya S. Nair

  3. Kerala University of Digital Sciences, Innovation and Technology (KUDSIT), Technocity Campus, Trivandrum, Kerala, India

    Sabu M. Thampi

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  1. Aiswarya S. Nair
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  2. Sabu M. Thampi
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Correspondence to Aiswarya S. Nair .

Editor information

Editors and Affiliations

  1. Guangzhou University, Guangzhou, China

    Guojun Wang

  2. University of Texas at San Antonio, San Antonio, TX, USA

    Kim-Kwang Raymond Choo

  3. University of Queensland, Brisbane, QLD, Australia

    Ryan K. L. Ko

  4. Hunan University, Changsha, China

    Yang Xu

  5. University of Trento, Trento, Italy

    Bruno Crispo

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Cite this paper

Nair, A.S., Thampi, S.M. (2022). PUFloc: PUF and Location Based Hierarchical Mutual Authentication Protocol for Surveillance Drone Networks. In: Wang, G., Choo, KK.R., Ko, R.K.L., Xu, Y., Crispo, B. (eds) Ubiquitous Security. UbiSec 2021. Communications in Computer and Information Science, vol 1557. Springer, Singapore. https://doi.org/10.1007/978-981-19-0468-4_6

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  • DOI: https://doi.org/10.1007/978-981-19-0468-4_6

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-19-0467-7

  • Online ISBN: 978-981-19-0468-4

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