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    Trustworthiness measurement methodology for e-business

    Access Status
    Fulltext not available
    Authors
    Hussain, Farookh
    Chang, Elizabeth
    Dillon, Tharam S.
    Date
    2006
    Type
    Book Chapter
    
    Metadata
    Show full item record
    Citation
    Hussain, Farookh and Chang, Elizabeth and Dillon, Tharam. 2006. Trustworthiness measurement methodology for e-business, in Last, M. and Szczepaniak, P.S. and Volkovich, Z. and Kandel, A. (ed), Advances in web intelligence and data mining, pp. 21-30. Berlin: Springer.
    Source Title
    Advances in web intelligence and data mining
    DOI
    10.1007/3-540-33880-2
    ISBN
    9783540338796
    Faculty
    Curtin Business School
    School of Information Systems
    School
    Centre for Extended Enterprises and Business Intelligence
    URI
    http://hdl.handle.net/20.500.11937/44864
    Collection
    • Curtin Research Publications
    Abstract

    The purpose of the Trustworthiness Measure is to (a) to determine the quality of the Trusted Agents and (b) once the trusting agent has determined and recorded the trustworthiness of the trusted agent or the quality of the trusted agent, the trusting agent can use this determined and recorded quality of the trusted agent when some other agent queries it about the quality of the trusted agent. As can be clearly seen, if the trusting agent has not determined the trustworthiness of the quality of the trusted agent and subsequently recorded it, then it will not be in a position to communicate recommendations about the trusted agent. Unfortunately, in the existing literature there is no methodology for quantifying and expressing the trustworthiness of the trusted agent. In this paper we propose a methodology by that the trusting agent needs to following in order to determine the trustworthiness of the trusted agent. This methodology helps trusted business transactions, virtual collaboration and keeps the service-oriented environment trustworthy as well as helping to provide a transparent and harmonious nature to the distributed, heterogeneous, anonymous, pseudo-anonymous, and non-anonymous e-service networks.

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