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

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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.

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Authors and Affiliations

  1. Centre for Artificial Intelligence, School of Software, Faculty of Engineering and Information Technology, University of Technology Sydney, Sydney, NSW, Australia

    Mohammad Dahman Alshehri & Farookh Khadeer Hussain

  2. Computer Science Department, Computers and Information Technology College, Taif University, Taif, Saudi Arabia

    Mohammad Dahman Alshehri

  3. School of Business, Australian Defence Force Academy University of New South Wales Canberra, Canberra, ACT, Australia

    Omar Khadeer Hussain

Authors
  1. Mohammad Dahman Alshehri
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  2. Farookh Khadeer Hussain
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  3. Omar Khadeer Hussain
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Correspondence to Mohammad Dahman Alshehri.

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Alshehri, M.D., Hussain, F.K. & Hussain, O.K. Clustering-Driven Intelligent Trust Management Methodology for the Internet of Things (CITM-IoT). Mobile Netw Appl 23, 419–431 (2018). https://doi.org/10.1007/s11036-018-1017-z

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  • DOI: https://doi.org/10.1007/s11036-018-1017-z

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