• DocumentCode
    2876654
  • Title

    Apply Measurable Risk to Strengthen Security of a Role-Based Delegation Supporting Workflow System

  • Author

    Han, Weili ; Ni, Qun ; Chen, Hong

  • Author_Institution
    Software Sch., Fudan Univ., Shanghai, China
  • fYear
    2009
  • fDate
    20-22 July 2009
  • Firstpage
    45
  • Lastpage
    52
  • Abstract
    Workflow systems often use delegation to enhance the flexibility of authorization. However, using delegation also weakens security because users may have difficulties understand and design correct delegation policies. In this paper, we propose the Measurable Risk Adaptive Role-based Delegation (MRARD) framework to address this problem.MRARD employs measurable risk for SSOs (System Security Officers) to provide a complementary protection mechanism in role-based delegation supporting workflow systems. In MRARD, when another enterprise user wants to use a delegated role to execute a task, a fuzzy logic based inference processor will infer the risk level. Based on simple risk adaptive decision policies, a decision module will determine whether the access should be granted under a certain risk mitigation action.
  • Keywords
    authorisation; fuzzy logic; inference mechanisms; risk analysis; workflow management software; authorization; complementary protection mechanism; delegation policy; fuzzy logic based inference processor; measurable risk adaptive role-based delegation framework; risk adaptive decision policy; risk mitigation action; role-based delegation supporting workflow system; system security officers; Access control; Authorization; Computer science; Computer security; Current measurement; Fuzzy logic; Fuzzy systems; Information systems; Protection; Software measurement; Fuzzy Logic; Fuzzy Set; Measurable Risk; Role-based Delegation; Workflow;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Policies for Distributed Systems and Networks, 2009. POLICY 2009. IEEE International Symposium on
  • Conference_Location
    London
  • Print_ISBN
    978-0-7695-3742-9
  • Electronic_ISBN
    978-0-7695-3742-9
  • Type

    conf

  • DOI
    10.1109/POLICY.2009.26
  • Filename
    5197383