• DocumentCode
    494446
  • Title

    A Simulation Study of Confidentiality Modeling in a Secured Supply Chain Network

  • Author

    Shing, Marn-Ling ; Shing, Chen-Chi ; Chen, Kuo Lane ; Lee, Huei

  • Author_Institution
    Early Child Educ. Dept., Taipei Municipal Univ. of Educ., Taipei
  • Volume
    1
  • fYear
    2008
  • fDate
    21-22 Dec. 2008
  • Firstpage
    823
  • Lastpage
    826
  • Abstract
    In a supply chain network, suppliers normally offer price and service quotes for bidding while the purchasing company usually needs to evaluate suppliers before making buying decision. Due to competition, purchasing company doesnpsilat want suppliers to know anything about purchasing sensitive information except providing itemspsila retail prices and bidding notices. The confidentiality modeling has been proposed to use the Bell-LaPadula model and Markov Chain to dynamically monitor the state transitions in a secured supply chain network. This paper explains how to create a secured model in a simplified supply chain network. The properties of the model are examined based on two different protocols. We conclude by showing how to simulate the proposed model to solidify the effectiveness of the proposed model.
  • Keywords
    Markov processes; decision making; pricing; purchasing; retailing; security; supply chains; Bell-LaPadula model; Markov Chain method; bidding notice; buying decision making; confidentiality modeling; purchasing company; retail pricing; secured supply chain network; simulation study; Computer science education; Educational technology; Geoscience and remote sensing; Information security; Information systems; Markov processes; Monitoring; Solid modeling; Stochastic processes; Supply chains; Information Security; Supply Chain Network;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Education Technology and Training, 2008. and 2008 International Workshop on Geoscience and Remote Sensing. ETT and GRS 2008. International Workshop on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-0-7695-3563-0
  • Type

    conf

  • DOI
    10.1109/ETTandGRS.2008.297
  • Filename
    5070278