Privacy improvement architecture for IoT

Emmanuel Kak, Rita Orji, Joseph Pry, Kenneth Sofranko, Richard K. Lomotey, Ralph Deters

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

2 Scopus citations

Abstract

The Internet of Things (IoT) is inspired by network interconnectedness of humans, objects, and cloud services to facilitate new use cases and new business models across multiple enterprise domains including healthcare. This creates the need for continuous data streaming in IoT architectures which are mainly designed following the broadcast model. As more devices communicate with each other via the Internet, it will be crucial to determine the origins of requests and responses. Being able to store records related to the life cycle of requests and responses in an immutable form will provide documentary evidence that will help to establish transparency and accountability within the IoT. Previous works employed provenance techniques to address this problem but focus on the request perspective. However, little or nothing has been done regarding the response perspective. Consequently, this paper proposes and develops a blockchain-based provenance system to trace bi-directionally the sources of requests and responses in the IoT. This is achieved through the investigation of historical communication records. Several empirical evaluations are conducted in a real-world IoT ecosystem to prove the superiority of the proposed work.

Original languageEnglish (US)
Title of host publicationProceedings - 2018 IEEE International Congress on Internet of Things, ICIOT 2018 - Part of the 2018 IEEE World Congress on Services
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages148-155
Number of pages8
ISBN (Electronic)9781538672440
DOIs
StatePublished - Sep 26 2018
Event3rd IEEE International Congress on Internet of Things, ICIOT 2018 - San Francisco, United States
Duration: Jul 2 2018Jul 7 2018

Publication series

NameProceedings - 2018 IEEE International Congress on Internet of Things, ICIOT 2018 - Part of the 2018 IEEE World Congress on Services

Other

Other3rd IEEE International Congress on Internet of Things, ICIOT 2018
CountryUnited States
CitySan Francisco
Period7/2/187/7/18

All Science Journal Classification (ASJC) codes

  • Safety, Risk, Reliability and Quality
  • Artificial Intelligence
  • Computer Networks and Communications
  • Computer Science Applications
  • Hardware and Architecture

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