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Fuzzy Multi-Criteria Based Trust Management in Heterogeneous Federated Future Internet Testbeds

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  • Dimitrios Dechouniotis

    (School of Electrical & Computer Engineering, National Technical University of Athens—NTUA, 9, Iroon Polytechniou Street, Zografou, GR 157 80, Greece)

  • Ioannis Dimolitsas

    (School of Electrical & Computer Engineering, National Technical University of Athens—NTUA, 9, Iroon Polytechniou Street, Zografou, GR 157 80, Greece)

  • Konstantinos Papadakis-Vlachopapadopoulos

    (School of Electrical & Computer Engineering, National Technical University of Athens—NTUA, 9, Iroon Polytechniou Street, Zografou, GR 157 80, Greece)

  • Symeon Papavassiliou

    (School of Electrical & Computer Engineering, National Technical University of Athens—NTUA, 9, Iroon Polytechniou Street, Zografou, GR 157 80, Greece)

Abstract

A federation of heterogeneous testbeds, which provides a wide range of services, attracts many experimenters from academia and industry to evaluate novel future Internet architectures and network protocols. The candidate experimenter reserves the appropriate testbeds’ resources based on various diverse criteria. Since several testbeds offer similar resources, a trust mechanism between the users and the providers will facilitate the proper selection of testbeds. This paper proposes a fuzzy reputation-based trust framework that is based on a modification of the fuzzy VIKOR multi-criteria decision making method and combines the user’s opinion from previously-conducted experiments with retrieved monitoring data from the utilized testbeds, in order to quantify the reputation of each testbed and the credibility of the experimenter. The proposed framework can process various types of numeric and linguistic data in an on-line fashion and can be easily extended for new types of testbeds and services. Data from active federated testbeds are used to evaluate the performance of the fuzzy reputation-based trust framework under dynamic conditions. Furthermore, a comparison of the proposed framework with another existing state of the art trust framework for federated testbeds is presented, and its superiority is demonstrated.

Suggested Citation

  • Dimitrios Dechouniotis & Ioannis Dimolitsas & Konstantinos Papadakis-Vlachopapadopoulos & Symeon Papavassiliou, 2018. "Fuzzy Multi-Criteria Based Trust Management in Heterogeneous Federated Future Internet Testbeds," Future Internet, MDPI, vol. 10(7), pages 1-17, June.
    • Handle: RePEc:gam:jftint:v:10:y:2018:i:7:p:58-:d:154348
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    References listed on IDEAS

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    1. Kaya, Tolga & Kahraman, Cengiz, 2010. "Multicriteria renewable energy planning using an integrated fuzzy VIKOR & AHP methodology: The case of Istanbul," Energy, Elsevier, vol. 35(6), pages 2517-2527.
    2. Paul Manuel, 2015. "A trust model of cloud computing based on Quality of Service," Annals of Operations Research, Springer, vol. 233(1), pages 281-292, October.
    3. Chang, Da-Yong, 1996. "Applications of the extent analysis method on fuzzy AHP," European Journal of Operational Research, Elsevier, vol. 95(3), pages 649-655, December.
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    Cited by:

    1. Pekka Ruotsalainen & Bernd Blobel, 2020. "Health Information Systems in the Digital Health Ecosystem—Problems and Solutions for Ethics, Trust and Privacy," IJERPH, MDPI, vol. 17(9), pages 1-15, April.

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