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    Context and time dependent risk based decision making

    20218_downloaded_stream_206.pdf (251.8Kb)
    Access Status
    Open access
    Authors
    Hussain, Omar
    Chang, Elizabeth
    Hussain, Farookh
    Dillon, Tharam S.
    Soh, B.
    Date
    2006
    Type
    Conference Paper
    
    Metadata
    Show full item record
    Citation
    Hussain, Omar and Chang, Elizabeth and Hussain, Farookh and Dillon, Tharam S. and Soh, Ben. 2006. : Context and time dependent risk based decision making, in Martin, D.C. (ed), IEEE 20th International Conference on Advanced Information Networking and Applications (AINA), Apr 18 2006, pp. 585-590. Vienna, Austria: IEEE Computer Society Press.
    Source Title
    Proceedings of the IEEE 20th International Conference on Advanced Information Networking and Applications (AINA)
    Source Conference
    IEEE 20th International Conference on Advanced Information Networking and Applications (AINA)
    Faculty
    Curtin Business School
    School
    Centre for Extended Enterprises and Business Intelligence
    Remarks

    Copyright 2006 IEEE

    This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.

    URI
    http://hdl.handle.net/20.500.11937/12444
    Collection
    • Curtin Research Publications
    Abstract

    As there is a lack of central management in an ecommerce interaction carried out based on peer-to-peer architecture, it is obvious for the trusting peer to analyze the Risk beforehand that could be involved in dealing with a trusted peer in these types of interactions. Another characteristic of peer-to-peer architecture interactions is that the trusting peer might have to choose a peer to interact with, from a set of possible trusted peers. It can ease its decision making process of choosing a peer to interact with by analyzing the Risk that could be involved in dealing with each of the possible trusted peers. In this paper we highlight and propose a solution to this problem by which the trusting peer can decide with which peer to interact with after analyzing the Risk that could be associated in dealing with each of them.

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