{"title":"A lightweight UAV secure communication scheme integrating cross-domain group authentication and reputation awareness","authors":"Zigang Chen , Chenfeng Zhu , Hongwei Zhang , Fuhai Zhang , Haihua Zhu","doi":"10.1016/j.iot.2025.101781","DOIUrl":null,"url":null,"abstract":"<div><div>With the widespread adoption of unmanned aerial vehicles (UAVs) in multi-domain collaborative tasks, traditional centralized authentication mechanisms face significant challenges in handling cross-domain migration, cooperative communication, and resistance to physical attacks. To address these issues, this paper proposes a lightweight multi-domain UAV authentication protocol based on Physically Unclonable Functions (PUFs) and a pseudo-identity mechanism. The scheme integrates cross-domain mutual authentication and group-based collaborative verification, while supporting dynamic path construction and reputation-aware authentication strategies. By leveraging challenge index mapping and aggregated authentication messages, the protocol enables path-level secure coordination among UAV. Additionally, a dynamic reputation mechanism is introduced to regulate authentication privileges of abnormal devices. In terms of security, the protocol is formally verified under the Dolev-Yao model using the ProVerif tool to ensure identity authentication and key confidentiality. For performance evaluation, we measure the average execution time of cryptographic operations using standard cryptographic libraries on a PC platform, and estimate the corresponding computational, communication, and storage overhead. Experimental results demonstrate that the proposed scheme achieves a strong balance between security and efficiency, making it particularly suitable for resource-constrained and highly dynamic UAV collaboration scenarios across multiple domains.</div></div>","PeriodicalId":29968,"journal":{"name":"Internet of Things","volume":"34 ","pages":"Article 101781"},"PeriodicalIF":7.6000,"publicationDate":"2025-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Internet of Things","FirstCategoryId":"94","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2542660525002951","RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"COMPUTER SCIENCE, INFORMATION SYSTEMS","Score":null,"Total":0}
引用次数: 0
Abstract
With the widespread adoption of unmanned aerial vehicles (UAVs) in multi-domain collaborative tasks, traditional centralized authentication mechanisms face significant challenges in handling cross-domain migration, cooperative communication, and resistance to physical attacks. To address these issues, this paper proposes a lightweight multi-domain UAV authentication protocol based on Physically Unclonable Functions (PUFs) and a pseudo-identity mechanism. The scheme integrates cross-domain mutual authentication and group-based collaborative verification, while supporting dynamic path construction and reputation-aware authentication strategies. By leveraging challenge index mapping and aggregated authentication messages, the protocol enables path-level secure coordination among UAV. Additionally, a dynamic reputation mechanism is introduced to regulate authentication privileges of abnormal devices. In terms of security, the protocol is formally verified under the Dolev-Yao model using the ProVerif tool to ensure identity authentication and key confidentiality. For performance evaluation, we measure the average execution time of cryptographic operations using standard cryptographic libraries on a PC platform, and estimate the corresponding computational, communication, and storage overhead. Experimental results demonstrate that the proposed scheme achieves a strong balance between security and efficiency, making it particularly suitable for resource-constrained and highly dynamic UAV collaboration scenarios across multiple domains.
期刊介绍:
Internet of Things; Engineering Cyber Physical Human Systems is a comprehensive journal encouraging cross collaboration between researchers, engineers and practitioners in the field of IoT & Cyber Physical Human Systems. The journal offers a unique platform to exchange scientific information on the entire breadth of technology, science, and societal applications of the IoT.
The journal will place a high priority on timely publication, and provide a home for high quality.
Furthermore, IOT is interested in publishing topical Special Issues on any aspect of IOT.