Towards Secure and Privacy-Preserving IoT Enabled Smart Home: Architecture and Experimental Study

Mamun Abu-Tair, Soufiene Djahel, Philip Perry, Bryan Scotney, Syed Muhammad Unsub Zia, Jorge Martinez Carracedo, Ali Sadjad

Research output: Contribution to journalArticlepeer-review

24 Citations (Scopus)
132 Downloads (Pure)

Abstract

Internet of Things (IoT) technology is increasingly pervasive in all aspects of our life and its usage is anticipated to significantly increase in future Smart Cities to support their myriad of revolutionary applications. This paper introduces a new architecture that can support several IoT-enabled smart home use cases, with a specified level of security and privacy preservation. The security threats that may target such an architecture are highlighted along with the cryptographic algorithms that can prevent them. An experimental study is performed to provide more insights about the suitability of several lightweight cryptographic algorithms for use in securing the constrained IoT devices used in the proposed architecture. The obtained results showed that many modern lightweight symmetric cryptography algorithms, as CLEFIA and TRIVIUM, are optimized for hardware implementations and can consume up to 10 times more energy than the legacy techniques when they are implemented in software. Moreover, the experiments results highlight that CLEFIA significantly outperforms TRIVIUM under all of the investigated test cases, and the latter performs 100 times worse than the legacy cryptographic algorithms tested.

Original languageEnglish
Article number6131
Pages (from-to)1-14
Number of pages14
JournalSensors
Volume20
Issue number21
Early online date28 Oct 2020
DOIs
Publication statusPublished (in print/issue) - 1 Nov 2020

Bibliographical note

Funding Information:
Funding: This research is supported by the BTIIC (BT Ireland Innovation Centre) project, funded by BT and Invest Northern Ireland.

Publisher Copyright:
© 2020 by the authors. Licensee MDPI, Basel, Switzerland.

Copyright:
Copyright 2020 Elsevier B.V., All rights reserved.

Keywords

  • IoT
  • Lightweight Cryptography
  • Smart Home
  • Security
  • Privacy
  • Data Anonymisation
  • Privacy Preservation
  • Privacy preservation
  • Data anonymisation
  • Lightweight cryptography
  • Smart home

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