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    The new peer-to-peer reputation-based trust model: the Resource Chain Model

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    DSP2008Lee.pdf (2.643Mb)
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    http://hdl.handle.net/11603/1953
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    • Towson University Graduate Theses and Dissertations
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    Author/Creator
    Lee, Sinjae
    Date
    2013-05-29
    2008-05
    Type of Work
    application/pdf
    x, 113 pages
    Text
    dissertations
    Department
    Towson University. Department of Computer and Information Sciences
    Rights
    Copyright protected, all rights reserved.
    There are no restrictions on access to this document. An internet release form signed by the author to display this document online is on file with Towson University Special Collections and Archives.
    Subjects
    Peer-to-peer architecture (Computer networks)
    Abstract
    Trust-reputation controlling mechanism, as an active self-controlling method is especially useful to automatically record, analyze and even adjust peers' reputation trust credibility among the different peers so that the system can adjust itself according to the credibility changes. This kind of self-adjusting system is suitable for the anonymous, dynamic and variable P2P environment. Using the Resource Chain Model, the new P2P reputation-based trust model, we can find the best resource location both effectively and efficiently while maintaining the system security. The goal of this dissertation is to find whether the model can increase the successful download rate when the number of transactions and the number of malicious nodes are increasing. The study's results show that RCM improved the performance. Thus, this approach enables one to find a better solution to find the best resource chain in a P2P community.


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    Website:
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    Contact Info:
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    410-704-5318
    http://libraries.towson.edu/md-soar


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    Towson University
    8000 York Road
    Towson, Maryland 21252

    Website:
    www.towson.edu

    Contact Info:
    azukowski@towson.edu
    410-704-5318
    http://libraries.towson.edu/md-soar


    If you wish to submit a copyright complaint or withdrawal request, please email mdsoar-help@umd.edu.