IDEAS home Printed from https://ideas.repec.org/h/spr/spochp/978-3-031-07535-3_20.html
   My bibliography  Save this book chapter

Blockchain-Based Data Management for Smart Transportation

In: Handbook on Blockchain

Author

Listed:
  • Mirko Zichichi

    (Universidad Politécnica de Madrid)

  • Stefano Ferretti

    (University of Urbino “Carlo Bo”)

  • Gabriele D’Angelo

    (University of Bologna)

Abstract

Smart services for Intelligent Transportation Systems (ITS) are currently deployed over centralized system solutions. Conversely, the use of decentralized systems to support these applications enables the distribution of data, only to those entities that have the authorization to access them, while at the same time guaranteeing data sovereignty to the data creators. This approach not only allows sharing information without the intervention of a “trusted” data silo, but promotes data verifiability and accountability. We discuss a possible framework based on decentralized systems, with a focus on four requirements, namely, data integrity, confidentiality, access control, and persistence. We also describe a prototype implementation and related performance results, showing the viability of the chosen approach.

Suggested Citation

  • Mirko Zichichi & Stefano Ferretti & Gabriele D’Angelo, 2022. "Blockchain-Based Data Management for Smart Transportation," Springer Optimization and Its Applications, in: Duc A. Tran & My T. Thai & Bhaskar Krishnamachari (ed.), Handbook on Blockchain, pages 631-659, Springer.
  • Handle: RePEc:spr:spochp:978-3-031-07535-3_20
    DOI: 10.1007/978-3-031-07535-3_20
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    More about this item

    Statistics

    Access and download statistics

    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:spr:spochp:978-3-031-07535-3_20. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.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.