{"title":"Secure and Dynamic Route Navigation Through RSU-Based Authentication in IoV for Smart City","authors":"Bimal Kumar Meher;Ruhul Amin;Mohammad Abdussami;Muhammad Khurram Khan;Md Abdul Saifulla;Sanjeev Kumar Dwivedi","doi":"10.1109/TNSE.2025.3563297","DOIUrl":null,"url":null,"abstract":"One of the significant services provided by IoV in Smart cities is vehicular navigation. Drivers often find it difficult and time-consuming to complete their trip in a crowded city without real-time knowledge about the traffic and road conditions. So, a proper routing mechanism can help drivers reach their destination in minimum time and with less fuel consumption. However, it has been found that such protocols often face security challenges. In this paper, we have proposed an authenticated navigation scheme with the help of pseudonym-based asymmetric-key cryptography that discovers and secures the route to the destination in real time. The architecture embodies a geolocation provider (GLP) to get the possible static routes to a particular destination. Further, it uses the message-forwarding capability of RSUs to develop a dynamic route, after receiving feedback from the respective RSUs about the traffic conditions. While doing so, this protocol ensures proper message integrity, anonymity, unlinkability and robust protection from important security threats. Our approach ensures minimal end-to-end delay and efficient real-time route finding from a source to a destination with no extra overhead on the vehicles. We have simulated our authentication protocol using the Scyther simulator and found it safe from various adversarial attacks.","PeriodicalId":54229,"journal":{"name":"IEEE Transactions on Network Science and Engineering","volume":"12 5","pages":"3590-3599"},"PeriodicalIF":7.9000,"publicationDate":"2025-04-22","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/10973147/","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
One of the significant services provided by IoV in Smart cities is vehicular navigation. Drivers often find it difficult and time-consuming to complete their trip in a crowded city without real-time knowledge about the traffic and road conditions. So, a proper routing mechanism can help drivers reach their destination in minimum time and with less fuel consumption. However, it has been found that such protocols often face security challenges. In this paper, we have proposed an authenticated navigation scheme with the help of pseudonym-based asymmetric-key cryptography that discovers and secures the route to the destination in real time. The architecture embodies a geolocation provider (GLP) to get the possible static routes to a particular destination. Further, it uses the message-forwarding capability of RSUs to develop a dynamic route, after receiving feedback from the respective RSUs about the traffic conditions. While doing so, this protocol ensures proper message integrity, anonymity, unlinkability and robust protection from important security threats. Our approach ensures minimal end-to-end delay and efficient real-time route finding from a source to a destination with no extra overhead on the vehicles. We have simulated our authentication protocol using the Scyther simulator and found it safe from various adversarial attacks.
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.