Addressing dependability by applying an approach for model-based risk assessment
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...
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Veröffentlicht in: | Reliability engineering & system safety 2007-11, Vol.92 (11), p.1492-1502 |
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description | 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. |
doi_str_mv | 10.1016/j.ress.2006.10.002 |
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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.</description><subject>Applied sciences</subject><subject>Dependability</subject><subject>Exact sciences and technology</subject><subject>Model-based risk analysis</subject><subject>Operational research and scientific management</subject><subject>Operational research. Management science</subject><subject>Reliability theory. Replacement problems</subject><subject>Risk theory. 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Management science</topic><topic>Reliability theory. Replacement problems</topic><topic>Risk theory. Actuarial science</topic><topic>Safety</topic><topic>Security</topic><topic>Trust case</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Gran, Bjørn Axel</creatorcontrib><creatorcontrib>Fredriksen, Rune</creatorcontrib><creatorcontrib>Thunem, Atoosa P.-J.</creatorcontrib><collection>Pascal-Francis</collection><collection>CrossRef</collection><collection>Health and Safety Science Abstracts (Full archive)</collection><collection>Risk Abstracts</collection><collection>Safety Science and Risk</collection><collection>Environmental Sciences and Pollution Management</collection><jtitle>Reliability engineering & system safety</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Gran, Bjørn Axel</au><au>Fredriksen, Rune</au><au>Thunem, Atoosa P.-J.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Addressing dependability by applying an approach for model-based risk assessment</atitle><jtitle>Reliability engineering & system safety</jtitle><date>2007-11-01</date><risdate>2007</risdate><volume>92</volume><issue>11</issue><spage>1492</spage><epage>1502</epage><pages>1492-1502</pages><issn>0951-8320</issn><eissn>1879-0836</eissn><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. 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subjects | Applied sciences Dependability Exact sciences and technology Model-based risk analysis Operational research and scientific management Operational research. Management science Reliability theory. Replacement problems Risk theory. Actuarial science Safety Security Trust case |
title | Addressing dependability by applying an approach for model-based risk assessment |
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