{"title":"RLAC: Rate-Limiting Anonymous Credential for Low Altitude Intelligent Transportation","authors":"Jialing He;Yaqing Feng;Biwen Chen;Yi Yang;Ze Jiang;Debiao He;Tao Xiang","doi":"10.1109/TNSE.2026.3662024","DOIUrl":null,"url":null,"abstract":"Low-altitude intelligent transportation (LAIT) relies on uncrewed aerial vehicles (UAVs) for diverse applications. However, current operational requirements often necessitate UAVs to broadcast their identity in plaintext, which introduces significant privacy risks. While anonymous credentials enable UAVs to prove legitimacy without revealing sensitive information or relying on constantly online central authorities, existing schemes lack integrated rate-limiting mechanisms essential for preventing denial-of-service attacks and managing high-density airspace resources safely. We propose <bold>RLAC</b>, a rate-limiting anonymous credential scheme based on BBS<inline-formula><tex-math>$^+$</tex-math></inline-formula> signatures. RLAC ensures non-transferability by cryptographically binding credentials to secure hardware via Device Unique Keys (DUK). It enforces time-window-based verification limits to prevent abuse, incorporates conditional anonymity to trace only malicious UAVs while preserving compliant user privacy, and supports efficient credential revocation. We conduct a thorough analysis of RLAC’s security and demonstrate its practicality via comprehensive performance evaluations. Experimental results show that our scheme achieves computational overhead within tens of milliseconds in both credential issuance and presentation phases, with performance suitable for real-world UAV deployments.","PeriodicalId":54229,"journal":{"name":"IEEE Transactions on Network Science and Engineering","volume":"13 ","pages":"7084-7099"},"PeriodicalIF":7.3000,"publicationDate":"2026-02-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Transactions on Network Science and Engineering","FirstCategoryId":"94","ListUrlMain":"https://ieeexplore.ieee.org/document/11373419/","RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 0
Abstract
Low-altitude intelligent transportation (LAIT) relies on uncrewed aerial vehicles (UAVs) for diverse applications. However, current operational requirements often necessitate UAVs to broadcast their identity in plaintext, which introduces significant privacy risks. While anonymous credentials enable UAVs to prove legitimacy without revealing sensitive information or relying on constantly online central authorities, existing schemes lack integrated rate-limiting mechanisms essential for preventing denial-of-service attacks and managing high-density airspace resources safely. We propose RLAC, a rate-limiting anonymous credential scheme based on BBS$^+$ signatures. RLAC ensures non-transferability by cryptographically binding credentials to secure hardware via Device Unique Keys (DUK). It enforces time-window-based verification limits to prevent abuse, incorporates conditional anonymity to trace only malicious UAVs while preserving compliant user privacy, and supports efficient credential revocation. We conduct a thorough analysis of RLAC’s security and demonstrate its practicality via comprehensive performance evaluations. Experimental results show that our scheme achieves computational overhead within tens of milliseconds in both credential issuance and presentation phases, with performance suitable for real-world UAV deployments.
期刊介绍:
The proposed journal, called the IEEE Transactions on Network Science and Engineering (TNSE), is committed to timely publishing of peer-reviewed technical articles that deal with the theory and applications of network science and the interconnections among the elements in a system that form a network. In particular, the IEEE Transactions on Network Science and Engineering publishes articles on understanding, prediction, and control of structures and behaviors of networks at the fundamental level. The types of networks covered include physical or engineered networks, information networks, biological networks, semantic networks, economic networks, social networks, and ecological networks. Aimed at discovering common principles that govern network structures, network functionalities and behaviors of networks, the journal seeks articles on understanding, prediction, and control of structures and behaviors of networks. Another trans-disciplinary focus of the IEEE Transactions on Network Science and Engineering is the interactions between and co-evolution of different genres of networks.