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  • A Trust Management Architecture for Hierarchical Wireless Sensor Networks

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    69650_1.pdf (261.7Kb)
    Author(s)
    Zhang, Junqi
    Shankaran, Rajan
    Orgun, Mehmet A
    Varadharajan, Vijay
    Sattar, Abdul
    Griffith University Author(s)
    Sattar, Abdul
    Year published
    2010
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    Abstract
    Security and trust are fundamental challenges when it comes to the deployment of large wireless sensor networks. In this paper, we propose a novel hierarchical trust management scheme that minimizes communication and storage overheads. Our scheme takes into account direct and indirect (group) trust in trust evaluation as well as the energy associated with sensor nodes in service selection. It also considers the dynamic aspect of trust by introducing a trust varying function which could give greater weight to the most recently obtained trust values in the trust calculation. The proposed framework can be extended to ...
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    Security and trust are fundamental challenges when it comes to the deployment of large wireless sensor networks. In this paper, we propose a novel hierarchical trust management scheme that minimizes communication and storage overheads. Our scheme takes into account direct and indirect (group) trust in trust evaluation as well as the energy associated with sensor nodes in service selection. It also considers the dynamic aspect of trust by introducing a trust varying function which could give greater weight to the most recently obtained trust values in the trust calculation. The proposed framework can be extended to such dynamic mobile inter-cluster wireless sensor network environments.
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    Conference Title
    IEEE LOCAL COMPUTER NETWORK CONFERENCE
    DOI
    https://doi.org/10.1109/LCN.2010.5735718
    Copyright Statement
    © 2010 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
    Subject
    Artificial intelligence not elsewhere classified
    Publication URI
    http://hdl.handle.net/10072/38276
    Collection
    • Conference outputs

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