IDEAS home Printed from https://ideas.repec.org/a/vrs/logitl/v14y2023i1p24-34n1.html
   My bibliography  Save this article

An Optimal Security Framework Based on Driver Authentication for Intelligent Transportation Systems

Author

Listed:
  • Yadav Shalini
  • Rishi Rahul

    (Maharshi Dayanand University, University Institute of Engineering & Technology, Department of Computer Science and Engineering, Rohtak, India)

Abstract

Security and safety have been a critical issue in the field of Intelligent Transportation Systems. Security of both people and vehicles is a matter of concern. In this paper, an authentication-based security framework is designed to serve the purpose. Only authorized users are provided access to the vehicle. The drivers are first registered for driving the vehicle from an authorized and valid source. The next step is the authentication check before one can be given access to the vehicle. There are two alternative methods provided for the authentication check in the solution depending upon the situation the vehicle is in. The solution is an optimally viable solution from the security perspective of the real-time Intelligent Transportation System environment. The results have shown that the security solution fits into the domain very well and performs as per expectations. The solution has been tested on a Vehicle Tracking Device connected to a vehicle. The same solution can be extended to a fleet of vehicles.

Suggested Citation

  • Yadav Shalini & Rishi Rahul, 2023. "An Optimal Security Framework Based on Driver Authentication for Intelligent Transportation Systems," LOGI – Scientific Journal on Transport and Logistics, Sciendo, vol. 14(1), pages 24-34, January.
  • Handle: RePEc:vrs:logitl:v:14:y:2023:i:1:p:24-34:n:1
    DOI: 10.2478/logi-2023-0003
    as

    Download full text from publisher

    File URL: https://doi.org/10.2478/logi-2023-0003
    Download Restriction: no

    File URL: https://libkey.io/10.2478/logi-2023-0003?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:vrs:logitl:v:14:y:2023:i:1:p:24-34:n:1. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Peter Golla (email available below). General contact details of provider: https://www.sciendo.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.