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

Alberto Giaretta*, Stefano Pepe, Nicola Dragoni

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

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Abstract

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.

Original languageEnglish
Title of host publicationProceedings of 51st International Conference on Methods and Tools
EditorsManuel Mazzara, Bertrand Meyer, Jean-Michel Bruel, Alexander Petrenko
Number of pages15
PublisherSpringer
Publication date1 Jan 2019
Pages237-251
ISBN (Print)9783030298517
DOIs
Publication statusPublished - 1 Jan 2019
Event51st International Conference on Software Technology: Methods and Tools, TOOLS 2019 - Innopolis, Russian Federation
Duration: 15 Oct 201917 Oct 2019

Conference

Conference51st International Conference on Software Technology: Methods and Tools, TOOLS 2019
CountryRussian Federation
CityInnopolis
Period15/10/201917/10/2019
SeriesLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume11771 LNCS
ISSN0302-9743

Keywords

  • Blockchain
  • IAM
  • Identity management systems
  • Internet of Things
  • IoT
  • M2M
  • Machine-to-machine

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