Authentication Methods for UAV Communication

Rodrigues, Marcos Vinícius; Amaro, Jean; Osório, Fernando Santos; Kalinka, R L J C Branco

doi:10.1109/iscc47284.2019.8969732

Cited by 31 publications

(30 citation statements)

References 18 publications

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“…The player device needs prior flight approval to control the drones and they have addressed mutual authentication between the various entities, integrity, availability, and privacy issues. Rodrigues et al 29 proposed another hash and ECC‐based authentication protocol for drone communications for mutual authentication between the UAV and GCS and between the UAVs. Tian et al 30 has presented an authentication framework for IoD with the help of mobile edge computing.…”

Section: Related Workmentioning

confidence: 99%

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A location‐aware physical unclonable function and Chebyshev map‐based mutual authentication mechanism for internet of surveillance drones

Nair

Thampi²

2023

Concurrency and Computation

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Summary The primary concern for securing the Internet of Drones (IoD) is authentication. Drone location is a vital information that must be verified before a secure communication link with the ground station can be established. In this paper, a location aware mutual authentication technique for secure inter‐drone and drone to ground communication using physical unclonable functions and Chebyshev chaotic maps is proposed. This is the first work that addresses the location validation of drones along with server‐less inter‐drone communication with a fail‐safe mechanism designed using a fuzzy inference system to tackle drone failures. The security of the system is analyzed using Burrows–Abadi–Needham logic, real‐or‐random oracle model and ProVerif. The processing, communication, and storage costs of the proposed scheme are determined and compared to other drone mutual authentication protocols. The proposed mechanism outperforms the existing mutual authentication protocols with superior security features and performance attributes and is well suited for surveillance drone networks.

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Section: Related Workmentioning

confidence: 99%

“…Rodrigues et al 29 proposed another hash and ECC-based authentication protocol for drone communications for mutual authentication between the UAV and GCS and between the UAVs. Tian et al 30 has presented an authentication framework for IoD with the help of mobile edge computing.…”

Section: Related Workmentioning

confidence: 99%

A location‐aware physical unclonable function and Chebyshev map‐based mutual authentication mechanism for internet of surveillance drones

Nair

Thampi²

2023

Concurrency and Computation

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“…In [10], the authors proposed a lightweight key-based mutual authentication between anonymous UAVs through the shared ground station. The authors in [11] presented an adaptation of 2 authentication strategies for wireless sensor networks (WSN), one is a key agreement authentication, and the second is an ECC-based privacy-aware two-factor authentication protocol. Those aforementioned approaches can add undesir-able traffic toward the 5G core network traffic.…”

Section: Drones Authentication a Device Authenticationmentioning

confidence: 99%

A Proxy Signature-Based Swarm Drone Authentication With Leader Selection in 5G Networks

et al. 2022

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Drones are imperative for the 5G architecture as a mobile source to expand network coverage and support seamless services, particularly through enabling device-to-device (D2D) communication. Such deployment of drones in D2D settings raises various security threats in drone communication. While the existing D2D communication security standard within the 4G cellular architecture may address some of these issues, the standard includes heavy traffic toward the network core servers. If this security standard is to be adopted in the 5G D2D security services with the same traffic load, it may negatively impact the 5G network performance. Therefore, this paper proposes a lightweight proxy signature-based authentication mechanism for a swarm of drones compatible with the 5G D2D standard mechanisms. This paper proposes a distributed delegation-based authentication mechanism to reduce the traffic overhead toward the 5G core network. In this scheme, the legitimate drones are authorized as proxy delegated signers to perform authentication on behalf of the core network. Furthermore, we propose a mechanism to elect and relocate a new leader relay drone from the existing drone swarm. We implemented the proposed authentication algorithm in the 5G D2D-based communication package over NS-3 while performing the computational calculations on a RaspberryPi3 device to mimic the drone calculation process and delays. The performance of the proposed authentication shows a promising reduction in the authentication time and shows lightweight and reliable compatibility.

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“…However, the protocol was pointed out by Lei et al [ 27 ] as not being provided to perfect forward secrecy. Meanwhile, Rodrigues et al [ 28 ] designed two methods for the drone communication environment. The first one is modified based on the AKA scheme of Farash et al [ 25 ], allowing for a direct connection between a drone and another one; the second one is modified based on the AKA scheme of Jiang et al [ 18 ], which allows a drone to communicate with another one through a ground control station.…”

Section: Introductionmentioning

confidence: 99%

An Efficient Authenticated Key Agreement Scheme Supporting Privacy-Preservation for Internet of Drones Communications

Weng

Chen

et al. 2022

Sensors

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In recent years, due to the rapid development of Internet of things (IoTs), various physical things (objects) in IoTs are smart enough to make their own decisions without the involvement of humans. The smart devices embedded in a drone can sense, collect, and transmit real-time data back to the controller from a designated environment via wireless communication technologies. The mobility, flexibility, reliability and energy efficiency of drones makes them more widely used in IoT environments such as commercial, military, entertainment applications, traffic surveillance and aerial photography. In a generalized IoD architecture, we have communications among the drones in a flying zone, among the drones and the control server, and also among the drones and authorized user. IoD still has many critical issues that need to be addressed, such as data access being carried out through a public channel and battery operated drones. To address these concerns in IoD communications, in this paper, an efficient authentication and secure communication scheme with privacy preservation is proposed and it only uses secure one-way hash function and bitwise XOR operations when control server, drone and user mutually authenticate each other. After the successful authentication, both IoD-based participants can agree on a common session key to secure the subsequent communication messages. The widely accepted ProVerif and BAN logic analysis have been used to assure that the proposed scheme is provably secure against existing well-known security attacks and ensures privacy. Finally, a comparative analysis is presented to demonstrate the proposed scheme preserves efficiency when compared to existing competitive schemes.

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Authentication Methods for UAV Communication

Cited by 31 publications

References 18 publications

A location‐aware physical unclonable function and Chebyshev map‐based mutual authentication mechanism for internet of surveillance drones

A location‐aware physical unclonable function and Chebyshev map‐based mutual authentication mechanism for internet of surveillance drones

A Proxy Signature-Based Swarm Drone Authentication With Leader Selection in 5G Networks

An Efficient Authenticated Key Agreement Scheme Supporting Privacy-Preservation for Internet of Drones Communications

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