journal article·2025-04-23Open access

Security-Enhanced Lightweight Authentication Key-Agreement Protocol for Unmanned Aerial Vehicle Communication

Zhoucan He, Yilong Zheng, Sisi Chen, Zhongze Du, Shuyuan Liu, Kailong Zhang

Applied Sciences· Volume 15· Issue 9

Abstract

Unmanned aerial vehicles have been widely employed in recent years owing to their remarkable features such as low environmental requirements and high survivability, and a new tendency towards networking, intelligence, and collaboration has emerged. The realization of these novel capabilities requires a secure and efficient wireless communication channel; however, it is vulnerable to eavesdropping, forgery, and manipulation by attackers. Therefore, ensuring the security of the wireless communication between unmanned aerial vehicles and ground stations is an urgent issue. The traditional solution to this problem is to design an authenticated key-agreement protocol between unmanned aerial vehicles and ground stations. However, an analysis of existing representative methods has shown that these methods are computationally expensive and difficult to implement in resource-intensive aerial vehicles. Furthermore, existing key-agreement systems are highly dependent on the security of temporary session information. When the temporary session information is stolen, the attacker can obtain the session key for the current communication and perform information theft attacks. Therefore, a security-enhanced lightweight authenticated key-agreement protocol for unmanned aerial vehicles’ communication is proposed in this study. We present a low-computational-cost agreement method that can achieve secure key agreement in cases of temporary session information leakage. Both theoretical analysis and experimental verification show that our proposed protocol has superior security properties and lower computational costs than representative protocols.
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Research context

OpenAlex topics: Advanced Authentication Protocols Security · Vehicular Ad Hoc Networks (VANETs) · UAV Applications and Optimization

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

School of Software, Northwestern Polytechnical University, Chang’an Campus, Xi’an 710129, China

Institute of Electronic Engineering, China Academy of Engineering Physics, Mianyang 621000, China

Funding

National Natural Science Foundation of China · Shaanxi Provincial Science and Technology Project · Shanghai Aerospace Technology Research Institute Industry University Research Cooperation Fund Project

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