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Mobile Networks and Applications

, Volume 23, Issue 3, pp 419–431 | Cite as

Clustering-Driven Intelligent Trust Management Methodology for the Internet of Things (CITM-IoT)

  • Mohammad Dahman AlshehriEmail author
  • Farookh Khadeer Hussain
  • Omar Khadeer Hussain
Article

Abstract

The growth and adoption of the Internet of Things (IoT) is increasing day by day. The large number of IoT devices increases the risk of security threats such as (but not limited to) viruses or cyber-attacks. One possible approach to achieve IoT security is to enable a trustworthy IoT environment in IoT wherein the interactions are based on the trust value of the communicating nodes. Trust management and trust assessment has been extensively studied in distributed networks in general and the IoT in particular, but there are still outstanding pressing issues such as bad-mouthing of trust values which prevent them from being used in practical IoT applications. Furthermore, there is no research in ensuring that the developed IoT trust solutions are scalable across billions of IoT nodes. To address the above-mentioned issues, we propose a methodology for scalable trust management solution in the IoT. The methodology addresses practical and pressing issues related to IoT trust management such as trust-based IoT clustering, intelligent methods for countering bad-mouthing attacks on trust systems, issues of memory-efficient trust computation and trust-based migration of IoT nodes from one cluster to another. Experimental results demonstrate the effectiveness of the proposed approaches.

Keywords

Internet of things (IoT) Trust management IoT scalability Clustering Bad-mouthing attacks 

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Copyright information

© Springer Science+Business Media, LLC, part of Springer Nature 2018

Authors and Affiliations

  1. 1.Centre for Artificial Intelligence, School of Software, Faculty of Engineering and Information TechnologyUniversity of Technology SydneySydneyAustralia
  2. 2.Computer Science Department, Computers and Information Technology CollegeTaif UniversityTaifSaudi Arabia
  3. 3.School of BusinessAustralian Defence Force Academy University of New South Wales CanberraCanberraAustralia

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