IDEAS home Printed from https://ideas.repec.org/a/gam/jftint/v17y2025i1p49-d1571976.html
   My bibliography  Save this article

Decentralized Identity Management for Internet of Things (IoT) Devices Using IOTA Blockchain Technology

Author

Listed:
  • Tamai Ramírez-Gordillo

    (Department of Computer Technology and Computation, University of Alicante, 03690 Alicante, Spain)

  • Antonio Maciá-Lillo

    (Department of Computer Technology and Computation, University of Alicante, 03690 Alicante, Spain)

  • Francisco A. Pujol

    (Department of Computer Technology and Computation, University of Alicante, 03690 Alicante, Spain)

  • Nahuel García-D’Urso

    (Department of Computer Technology and Computation, University of Alicante, 03690 Alicante, Spain)

  • Jorge Azorín-López

    (Department of Computer Technology and Computation, University of Alicante, 03690 Alicante, Spain)

  • Higinio Mora

    (Department of Computer Technology and Computation, University of Alicante, 03690 Alicante, Spain)

Abstract

The exponential growth of the Internet of Things (IoT) necessitates robust, scalable, and secure identity management solutions to handle the vast number of interconnected devices. Traditional centralized identity systems are increasingly inadequate due to their vulnerabilities, such as single points of failure, scalability issues, and limited user control over data. This study explores a decentralized identity management model leveraging the IOTA Tangle, a Directed Acyclic Graph (DAG)-based distributed ledger technology, to address these challenges. By integrating Decentralized Identifiers (DIDs), Verifiable Credentials (VCs), and IOTA-specific technologies like IOTA Identity, IOTA Streams, and IOTA Stronghold, we propose a proof-of-concept framework that enhances security, scalability, and privacy in IoT ecosystems. Our implementation on resource-constrained IoT devices demonstrates the feasibility of this approach, highlighting significant improvements in transaction efficiency, real-time data exchange, and cryptographic key management. Furthermore, this research aligns with Web 3.0 principles, emphasizing decentralization, user autonomy, and data sovereignty. The findings suggest that IOTA-based solutions can effectively advance secure and user-centric identity management in IoT, paving the way for broader applications in various domains, including smart cities and healthcare.

Suggested Citation

  • Tamai Ramírez-Gordillo & Antonio Maciá-Lillo & Francisco A. Pujol & Nahuel García-D’Urso & Jorge Azorín-López & Higinio Mora, 2025. "Decentralized Identity Management for Internet of Things (IoT) Devices Using IOTA Blockchain Technology," Future Internet, MDPI, vol. 17(1), pages 1-35, January.
    • Handle: RePEc:gam:jftint:v:17:y:2025:i:1:p:49-:d:1571976
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1999-5903/17/1/49/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1999-5903/17/1/49/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Anthony Jnr. Bokolo, 2022. "Exploring interoperability of distributed Ledger and Decentralized Technology adoption in virtual enterprises," Information Systems and e-Business Management, Springer, vol. 20(4), pages 685-718, December.
    2. Elias Dritsas & Maria Trigka, 2024. "Machine Learning for Blockchain and IoT Systems in Smart Cities: A Survey," Future Internet, MDPI, vol. 16(9), pages 1-15, September.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Bokolo Anthony Jnr. & Waribugo Sylva & Josue Kuika Watat & Sanjay Misra, 2024. "A Framework for Standardization of Distributed Ledger Technologies for Interoperable Data Integration and Alignment in Sustainable Smart Cities," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 15(3), pages 12053-12096, September.
    2. Madiyar Nurgaliyev & Askhat Bolatbek & Batyrbek Zholamanov & Ahmet Saymbetov & Kymbat Kopbay & Evan Yershov & Sayat Orynbassar & Gulbakhar Dosymbetova & Ainur Kapparova & Nurzhigit Kuttybay & Nursulta, 2024. "Machine Learning Based Localization of LoRa Mobile Wireless Nodes Using a Novel Sectorization Method," Future Internet, MDPI, vol. 16(12), pages 1-28, December.
    3. Bokolo Anthony, 2023. "Deployment of distributed ledger and decentralized technology for transition to smart industries," Environment Systems and Decisions, Springer, vol. 43(2), pages 298-319, June.
    4. Bokolo Anthony, 2023. "Decentralized brokered enabled ecosystem for data marketplace in smart cities towards a data sharing economy," Environment Systems and Decisions, Springer, vol. 43(3), pages 453-471, September.
    5. Bokolo Anthony Jnr., 2023. "A developed distributed ledger technology architectural layer framework for decentralized governance implementation in virtual enterprise," Information Systems and e-Business Management, Springer, vol. 21(3), pages 437-470, September.

    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:1:p:49-:d:1571976. 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.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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.