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International Conference on Neural Information Processing

ICONIP 2015: Neural Information Processing pp 596–605Cite as

A Comparative Analysis of Scalable and Context-Aware Trust Management Approaches for Internet of Things

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Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 9492))

Abstract

The Internet of Things – IoT – is a new paradigm in technology that allows most physical ‘things’ to contact each other. Trust between IoT devices is a critical factor. Trust in the IoT environment can be modeled using various approaches, such as confidence level and reputation parameters. Furthermore, trust is an important element in engineering reliable and scalable networks. In this paper, we survey scalable and context-aware trust management for IoT from three perspectives. First, we present an overview of the IoT and the importance of trust in relation to it, and then we provide an in-depth trust/reliable management protocol for the IoT and evaluate comparable trust management protocols. We also investigate a scalable solution for trust management in the IoT and provide a comparative evaluation of existing trust solutions. We then present a context-aware assessment for the IoT and compare the different trust solutions. Lastly, we give a full comparative analysis of trust/reliability management in the IoT. Our results are drawn from this comparative analysis, and directions for future research are outlined.

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Author information

Authors and Affiliations

  1. College of Computers and Information Technology, Taif University, Taif, Saudi Arabia

    Mohammad Dahman Alshehri

  2. School of Software, Centre for Quantum Computation and Intelligent Systems – QCIS, Decision Systems and e-Service Intelligence Laboratory - DeSI, University of Technology Sydney, Sydney, NSW, Australia

    Mohammad Dahman Alshehri & Farookh Khadeer Hussain

Authors
  1. Mohammad Dahman Alshehri
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  2. Farookh Khadeer Hussain
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Corresponding author

Correspondence to Mohammad Dahman Alshehri .

Editor information

Editors and Affiliations

  1. University of Istanbul, Istanbul, Turkey

    Sabri Arik

  2. University at Qatar, Doha, Qatar

    Tingwen Huang

  3. Tunku Abdul Rahman University College, Kuala Lumpur, Malaysia

    Weng Kin Lai

  4. University of Science Technology, Wuhan, China

    Qingshan Liu

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© 2015 Springer International Publishing Switzerland

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Alshehri, M.D., Hussain, F.K. (2015). A Comparative Analysis of Scalable and Context-Aware Trust Management Approaches for Internet of Things. In: Arik, S., Huang, T., Lai, W., Liu, Q. (eds) Neural Information Processing. ICONIP 2015. Lecture Notes in Computer Science(), vol 9492. Springer, Cham. https://doi.org/10.1007/978-3-319-26561-2_70

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  • DOI: https://doi.org/10.1007/978-3-319-26561-2_70

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-26560-5

  • Online ISBN: 978-3-319-26561-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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