• DocumentCode
    2072021
  • Title

    Trusted business system model using context sensitiveness

  • Author

    Subramaniam, Chandrasekaran ; Ponnusamy, Sankarbharathy ; Ravi, Agilan ; Ravindran, Hanumanth Praveen

  • Author_Institution
    Dept. of Comput. Sci., Anna Univ., Chennai, India
  • fYear
    2010
  • fDate
    16-18 Aug. 2010
  • Firstpage
    455
  • Lastpage
    460
  • Abstract
    The objective of the paper is to propose a predictable context sensitive trust model for a business system. A business system can be imagined with four basic entities between which there is a mutual trust of different nature exists. A formal model, which encompasses the trust between the stack-holders is proposed where the context sensitive features of the multi variate trust issues are addressed. The impact of both the legal environment and the interoperability factors on various entities involved in the trust issues are focused in the work. The key dimensions of the trust i.e. integrity and loyalty are determined through acceptable uncertainties of various components in the proposed model the proposed context sensitive trust model for business systems. The model which represents the various trusts in a context sensitive business system is verified using a numerical simulation tool and the inferences are drawn with a scenario.
  • Keywords
    business data processing; commercial law; corporate modelling; ethical aspects; business system; context sensitiveness; interoperability factor; legal environment; multivariate trust issue; mutual trust; numerical simulation tool; predictable context sensitive trust model; Marine vehicles; Marketing and sales; Materials; Organizations; USA Councils; Variable speed drives; Acceptable Uncertainty and Integrity; Business System; Context Sensitive; Trust;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Networked Computing and Advanced Information Management (NCM), 2010 Sixth International Conference on
  • Conference_Location
    Seoul
  • Print_ISBN
    978-1-4244-7671-8
  • Electronic_ISBN
    978-89-88678-26-8
  • Type

    conf

  • Filename
    5572079