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    Quantifying risk in financial terms in an e-transaction.

    20056_downloaded_stream_44.pdf (202.7Kb)
    Access Status
    Open access
    Authors
    Hussain, Omar
    Chang, Elizabeth
    Hussain, Farookh
    Dillon, Tharam S.
    Date
    2006
    Type
    Conference Paper
    
    Metadata
    Show full item record
    Citation
    Hussain, Omar and Chang, Elizabeth and Hussain, Farookh and Dillon, Tharam. 2006. Quantifying risk in financial terms in an e-transaction, in 2006 4th International Conference on Industrial Informatics (INDIN), Aug 16 2006, pp. 587-592. Singapore: IEEE Computer Society Press.
    Source Title
    2006 IEEE International Conference on Industrial Informatics
    Source Conference
    2006 4th International Conference on Industrial Informatics (INDIN)
    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/20.500.11937/36446
    Collection
    • Curtin Research Publications
    Abstract

    An outcome of Risk is the possible loss that could incur in an interaction. In a peer-to-peer financial interaction, the possible loss that could incur is usually the financial loss in the resources of the trusting agent that are involved in the interaction. Hence, a consideration for the trusting agent to analyze the Risk in interacting with any probable trusted agent in order to decide whether to interact with it or not, is to determine the potential loss in its resources that may occur. In this paper, we will propose a methodology by which the trusting agent can determine beforehand the possible loss that could be incurred to it as a result of interacting with a probable trusted agent.

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