IDEAS home Printed from https://ideas.repec.org/a/gam/jftint/v17y2025i8p322-d1707522.html
   My bibliography  Save this article

Privacy Framework for the Development of IoT-Based Systems

Author

Listed:
  • Yaqin Y. Shaheen

    (Software Engineering Department, Research Center for Information and Communication Technologies (CITIC-UGR), Aynadamar Campus, University of Granada, 18071 Granada, Spain
    Computer Engineering Department, Palestine Technical University-Kadoorie (PTUK), Hebron P7060796, Palestine)

  • Miguel J. Hornos

    (Software Engineering Department, Research Center for Information and Communication Technologies (CITIC-UGR), Aynadamar Campus, University of Granada, 18071 Granada, Spain)

  • Carlos Rodríguez-Domínguez

    (Software Engineering Department, Research Center for Information and Communication Technologies (CITIC-UGR), Aynadamar Campus, University of Granada, 18071 Granada, Spain)

Abstract

Addressing privacy concerns is one of the key challenges facing the development of Internet of Things (IoT)-based systems (IoTSs). As IoT devices often collect and process personal and sensitive information, strict privacy policies must be defined and enforced to keep data secure and safe, ensuring security and regulatory compliance. Any data breach could compromise the security of the system, leading to various types of threats and attacks, some of which could even endanger human life. Therefore, it is crucial to design and build a comprehensive and general privacy framework for the development of IoTSs. This framework should not be limited to specific IoTS domains but should be general enough to support and cover most IoTS domains. In this paper, we present a framework that assists developers by (i) enabling them to build IoTSs that comply with privacy standards, such as the General Data Protection Regulation (GDPR), and (ii) providing a simplified and practical approach to identifying and addressing privacy concerns. In addition, the framework enables developers to implement effective countermeasures.

Suggested Citation

  • Yaqin Y. Shaheen & Miguel J. Hornos & Carlos Rodríguez-Domínguez, 2025. "Privacy Framework for the Development of IoT-Based Systems," Future Internet, MDPI, vol. 17(8), pages 1-36, July.
    • Handle: RePEc:gam:jftint:v:17:y:2025:i:8:p:322-:d:1707522
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1999-5903/17/8/322/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1999-5903/17/8/322/
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    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:gam:jftint:v:17:y:2025:i:8:p:322-:d:1707522. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.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.