IDEAS home Printed from https://ideas.repec.org/a/igg/jagr00/v10y2019i1p73-91.html
   My bibliography  Save this article

Designing Privacy-Aware Intelligent Transport Systems: A Roadmap for Identifying the Major Privacy Concepts

Author

Listed:
  • Christos Kalloniatis

    (University of the Aegean, Mytilene, Greece)

  • Dimitris Kavroudakis

    (University of the Aegean, Mytilene, Greece)

  • Amalia Polidoropoulou

    (University of the Aegean, Mytilene, Greece)

  • Stefanos Gritzalis

    (University of the Aegean, Mytilene, Greece)

Abstract

Intelligent transport systems (ITSs) play a key role in people's daily activities. ITSs significantly improve mobility offering a variety of services to a vast number of users that increase on a daily basis, as more and new services are introduced. These services are based on advanced information and communication technologies (ICTs) and rely strongly on connectivity and computing resources. However, technical vulnerabilities of the technologies used in ITS, as well as the increase in users' awareness has brought security and privacy concerns to the forefront. This article aims at identifying a set of privacy concepts that provide the bases for designing trustworthy ITS services identifying possible threats and users' privacy concerns. A key contribution of the article is a roadmap that presents in detail how for every ITS function corresponding to privacy concepts can be realized for overcoming specific threats and users' privacy concerns in a smart city context.

Suggested Citation

  • Christos Kalloniatis & Dimitris Kavroudakis & Amalia Polidoropoulou & Stefanos Gritzalis, 2019. "Designing Privacy-Aware Intelligent Transport Systems: A Roadmap for Identifying the Major Privacy Concepts," International Journal of Applied Geospatial Research (IJAGR), IGI Global, vol. 10(1), pages 73-91, January.
  • Handle: RePEc:igg:jagr00:v:10:y:2019:i:1:p:73-91
    as

    Download full text from publisher

    File URL: https://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/IJAGR.2019010104
    Download Restriction: no
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Konstantinos Kotis & Stavros Stavrinos & Christos Kalloniatis, 2022. "Review on Semantic Modeling and Simulation of Cybersecurity and Interoperability on the Internet of Underwater Things," Future Internet, MDPI, vol. 15(1), pages 1-35, December.
    2. Saveria Olga Murielle Boulanger, 2022. "The Roadmap to Smart Cities: A Bibliometric Literature Review on Smart Cities’ Trends before and after the COVID-19 Pandemic," Energies, MDPI, vol. 15(24), pages 1-19, December.

    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:igg:jagr00:v:10:y:2019:i:1:p:73-91. 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: Journal Editor (email available below). General contact details of provider: https://www.igi-global.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.