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Addressing dependability by applying an approach for model-based risk assessment

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  • Gran, Bjørn Axel
  • Fredriksen, Rune
  • Thunem, Atoosa P.-J.

Abstract

This paper describes how an approach for model-based risk assessment (MBRA) can be applied for addressing different dependability factors in a critical application. Dependability factors, such as availability, reliability, safety and security, are important when assessing the dependability degree of total systems involving digital instrumentation and control (I&C) sub-systems. In order to identify risk sources their roles with regard to intentional system aspects such as system functions, component behaviours and intercommunications must be clarified. Traditional risk assessment is based on fault or risk models of the system. In contrast to this, MBRA utilizes success-oriented models describing all intended system aspects, including functional, operational and organizational aspects of the target. The EU-funded CORAS project developed a tool-supported methodology for the application of MBRA in security-critical systems. The methodology has been tried out within the telemedicine and e-commerce areas, and provided through a series of seven trials a sound basis for risk assessments. In this paper the results from the CORAS project are presented, and it is discussed how the approach for applying MBRA meets the needs of a risk-informed Man–Technology–Organization (MTO) model, and how methodology can be applied as a part of a trust case development.

Suggested Citation

  • Gran, Bjørn Axel & Fredriksen, Rune & Thunem, Atoosa P.-J., 2007. "Addressing dependability by applying an approach for model-based risk assessment," Reliability Engineering and System Safety, Elsevier, vol. 92(11), pages 1492-1502.
    • Handle: RePEc:eee:reensy:v:92:y:2007:i:11:p:1492-1502
    DOI: 10.1016/j.ress.2006.10.002
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    References listed on IDEAS

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    1. B. Littlewood, 1975. "A Reliability Model for Systems with Markov Structure," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 24(2), pages 172-177, June.
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    Cited by:

    1. Samia Maza, 2014. "Stochastic activity networks for performance evaluation of fault-tolerant systems," Journal of Risk and Reliability, , vol. 228(3), pages 243-253, June.

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