IDEAS home Printed from https://ideas.repec.org/a/ajp/edwast/v9y2025i4p88-94id5941.html
   My bibliography  Save this article

Blockchain-enhanced vehicle data management system with file-based search for crime detection

Author

Listed:
  • Chul Jun Sim

Abstract

Effective vehicle data management is crucial for traffic safety and public security, requiring both rapid processing and robust security mechanisms. This study presents a hybrid system that combines a file-based search algorithm with blockchain technology to improve performance and security. The file-based search algorithm facilitates quick data retrieval, while blockchain ensures data integrity and protects against tampering. By integrating these two methods, the system overcomes common bottlenecks and security vulnerabilities found in centralized architectures. Experimental results reveal that the proposed system enhances data processing speed by 84%, considerably increasing data security. These findings highlight its practical applications in smart cities, traffic management, and public safety.

Suggested Citation

  • Chul Jun Sim, 2025. "Blockchain-enhanced vehicle data management system with file-based search for crime detection," Edelweiss Applied Science and Technology, Learning Gate, vol. 9(4), pages 88-94.
    • Handle: RePEc:ajp:edwast:v:9:y:2025:i:4:p:88-94:id:5941
    as

    Download full text from publisher

    File URL: https://learning-gate.com/index.php/2576-8484/article/view/5941/2138
    Download Restriction: no
    ---><---

    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:ajp:edwast:v:9:y:2025:i:4:p:88-94:id:5941. 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: Melissa Fernandes (email available below). General contact details of provider: https://learning-gate.com/index.php/2576-8484/ .

    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.