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Article
A Mobile Code-driven Trust Mechanism for detecting internal attacks in sensor node-powered IoT
Journal of Parallel and Distributed Computing
  • Noshina Tariq, National University of Computer and Emerging Sciences Islamabad
  • Muhammad Asim, National University of Computer and Emerging Sciences Islamabad
  • Zakaria Maamar, Zayed University
  • M. Zubair Farooqi, Air University Islamabad
  • Noura Faci, Université Claude Bernard Lyon 1
  • Thar Baker, Liverpool John Moores University
Document Type
Article
Publication Date
12-1-2019
Abstract

© 2019 Elsevier Inc. The ubiquitous use of Internet-of-Things (IoT) is enabling a new era of wireless Sensor Nodes (SNs) that can be subject to attacks like any other piece of hardware and software. Unfortunately, an open and challenging issue is to what extent legitimate SNs can be trusted. This paper presents an energy-efficient, software-defined-network-based Mobile Code-driven Trust Mechanism (MCTM) for addressing this issue by assessing trust of SNs based on their forwarding behaviors. MCTM uses mobile code to visit the SNs based on pre-defined itineraries while collecting necessary details about these SNs in preparation for assessing their trust. The results gained from the experiments demonstrate a superior performance over a state-of-art technique that is energy-efficient management based on Software-Defined Network (SDN) for SNs. Message overhead is reduced by approximately 50%, which results in consuming less energy when detecting malicious SNs.

Publisher
Academic Press Inc.
Disciplines
Keywords
  • Energy,
  • Internet of Things,
  • Mobile code,
  • Sensor node,
  • Trust
Scopus ID
85072240948
Indexed in Scopus
Yes
Open Access
No
https://doi.org/10.1016/j.jpdc.2019.08.013
Citation Information
Noshina Tariq, Muhammad Asim, Zakaria Maamar, M. Zubair Farooqi, et al.. "A Mobile Code-driven Trust Mechanism for detecting internal attacks in sensor node-powered IoT" Journal of Parallel and Distributed Computing Vol. 134 (2019) p. 198 - 206 ISSN: <a href="https://v2.sherpa.ac.uk/id/publication/issn/0743-7315" target="_blank">0743-7315</a>
Available at: http://works.bepress.com/zakaria-maamar/44/