About

Log in?

DTU users get better search results including licensed content and discounts on order fees.

Anyone can log in and get personalized features such as favorites, tags and feeds.

Log in as DTU user Log in as non-DTU user No thanks

DTU Findit

Preprint article · Conference paper · Book chapter

UniquID: A Quest to Reconcile Identity Access Management and the IoT

From

Örebro University1

UniquID Inc.2

Department of Applied Mathematics and Computer Science, Technical University of Denmark3

Embedded Systems Engineering, Department of Applied Mathematics and Computer Science, Technical University of Denmark4

The Internet of Things (IoT) has caused a revolutionary paradigm shift in computer networking. After decades of human-centered routines, where devices were merely tools that enabled human beings to authenticate themselves and perform activities, we are now dealing with a device-centered paradigm: the devices themselves are actors, not just tools for people.

Conventional identity access management (IAM) frameworks were not designed to handle the challenges of IoT. Trying to use traditional IAM systems to reconcile heterogeneous devices and complex federations of online services (e.g., IoT sensors and cloud computing solutions) adds a cumbersome architectural layer that can become hard to maintain and act as a single point of failure.

In this paper, we propose UniquID, a blockchain-based solution that overcomes the need for centralized IAM architectures while providing scalability and robustness. We also present the experimental results of a proof-of-concept UniquID enrolment network, and we discuss two different use-cases that show the considerable value of a blockchain-based IAM.

Language: English
Publisher: Springer
Year: 2019
Pages: 237-251
Proceedings: 51st International Conference on Software Technology
Series: Lecture Notes in Computer Science (including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Journal subtitle: 51st International Conference, Tools 2019, Innopolis, Russia, October 15–17, 2019, Proceedings
ISBN: 3030298515 , 3030298523 , 9783030298517 and 9783030298524
ISSN: 03029743 and 16113349
Types: Preprint article , Conference paper and Book chapter
DOI: 10.1007/978-3-030-29852-4_20
ORCIDs: Dragoni, Nicola , 0000-0001-7411-3831 , 0000-0002-5985-7434 , 0000-0002-3653-0148 and 0000-0002-3860-4948

DTU users get better search results including licensed content and discounts on order fees.

Log in as DTU user

Access

Analysis