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Abstract
Traditional blockchain technology poses challenges to implementing practical and sustainable decentralized identity solutions, such as scalability issues, high transaction fees, and energy consumption. However, Decentralized Identifiers (DIDs) with IOTA’s Tangle technology offer a promising solution to these challenges. This paper explores IOTA’s recent version Chrysalis, which provides a more energy-efficient and scalable infrastructure for implementing DIDs, particularly for heterogeneous IoT devices. The system enables these devices to create tamper-proof digital identities that are easily verified and used in various IoT applications. Additionally, the system is highly secure and cost-effective, with low transaction fees and minimal resource requirements. We discuss the current status of the work and provide a future vision for the IOTA-based DID system. This technology offers a more secure, efficient, and sustainable approach to decentralized identity management than traditional systems. The potential of IOTA’s DID system for IoT devices is significant, and we anticipate that it will lead to innovative use cases and solutions in the future.
Originalsprog | Engelsk |
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Titel | Distributed Computing and Artificial Intelligence, Special Sessions I, 20th International Conference |
Redaktører | Rashid Mehmood, Victor Alves, Isabel Praça, Jarosław Wikarek, Javier Parra-Domínguez, Roussanka Loukanova, Ignacio de Miguel, Tiago Pinto, Ricardo Nunes, Michela Ricca |
Antal sider | 10 |
Forlag | Springer |
Publikationsdato | 2023 |
Sider | 408-417 |
ISBN (Trykt) | 978-3-031-38317-5 |
ISBN (Elektronisk) | 978-3-031-38318-2 |
DOI | |
Status | Udgivet - 2023 |
Begivenhed | 20th International Symposium on Distributed Computing and Artificial Intelligence, DCAI 2023 - Guimaraes, Portugal Varighed: 12 jul. 2023 → 14 jul. 2023 |
Konference
Konference | 20th International Symposium on Distributed Computing and Artificial Intelligence, DCAI 2023 |
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Land/Område | Portugal |
By | Guimaraes |
Periode | 12/07/2023 → 14/07/2023 |
Navn | Lecture Notes in Networks and Systems |
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Vol/bind | 741 LNNS |
ISSN | 2367-3370 |
Bibliografisk note
Publisher Copyright:© 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.
Fingeraftryk
Dyk ned i forskningsemnerne om 'Decentralized Identifiers for IoT Systems: Current Status and Future Vision'. Sammen danner de et unikt fingeraftryk.Projekter
- 1 Igangværende
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MSCA ITN IoTalentum: Internet of Things - Advance Learning in Networked Training
Skouby, K. E. (PI (principal investigator)), Kosta, S. (PI (principal investigator)), Waleed, M. (Projektdeltager) & Ferens Michalek, M. J. (Projektdeltager)
01/10/2020 → 30/06/2025
Projekter: Projekt › Forskning