Autonomic Identity Framework for the Internet of Things

Xiaoyang Zhu, Youakim Badr, Jesus Pacheco, Salim A Hariri

Research output: Chapter in Book/Report/Conference proceedingConference contribution

19 Scopus citations

Abstract

The Internet of Things (IoT) will connect not only computers and mobile devices, but it will also interconnect smart buildings, houses, and cities, as well as electrical grids, gas plants, and water networks, automobiles, airplanes, etc. IoT will lead to the development of a wide range of advanced information services that are pervasive, cost-effective, and can be accessed from anywhere and at any time. However, due to the exponential number of interconnected devices, cyber-security in the IoT is a major challenge. It heavily relies on the digital identity concept to build security mechanisms such as authentication and authorization. Current centralized identity management systems are built around third party identity providers, which raise privacy concerns and present a single point of failure. In addition, IoT unconventional characteristics such as scalability, heterogeneity and mobility require new identity management systems to operate in distributed and trustless environments, and uniquely identify a particular device based on its intrinsic digital properties and its relation to its human owner. In order to deal with these challenges, we present a Blockchain-based Identity Framework for IoT (BIFIT). We show how to apply our BIFIT to IoT smart homes to achieve identity self-management by end users. In the context of smart home, the framework autonomously extracts appliances signatures and creates blockchain-based identifies for their appliance owners. It also correlates appliances signatures (low level identities) and owners identifies in order to use them in authentication credentials and to make sure that any IoT entity is behaving normally.

Original languageEnglish (US)
Title of host publicationProceedings - 2017 IEEE International Conference on Cloud and Autonomic Computing, ICCAC 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages69-79
Number of pages11
ISBN (Electronic)9781538619391
DOIs
StatePublished - Oct 9 2017
Event4th IEEE International Conference on Cloud and Autonomic Computing, ICCAC 2017 - Tucson, United States
Duration: Sep 18 2017Sep 22 2017

Other

Other4th IEEE International Conference on Cloud and Autonomic Computing, ICCAC 2017
CountryUnited States
CityTucson
Period9/18/179/22/17

Keywords

  • Autonomic Computing
  • Blockchain
  • Identity Management
  • Internet of Things
  • Security
  • Self-Discovery

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Control and Optimization

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  • Cite this

    Zhu, X., Badr, Y., Pacheco, J., & Hariri, S. A. (2017). Autonomic Identity Framework for the Internet of Things. In Proceedings - 2017 IEEE International Conference on Cloud and Autonomic Computing, ICCAC 2017 (pp. 69-79). [8064055] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICCAC.2017.14