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Optimisation of sec...
Optimisation of security system design by quantitative risk assessment and genetic algorithms
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- Flammini, Francesco, Senior Lecturer, 1978- (author)
- ANSALDO STS, Italy
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- Gaglione, Andrea (author)
- University of Naples Federico II, Italy
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- Mazzocca, Nicola (author)
- University of Naples Federico II, Italy
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- Pragliola, Concetta (author)
- ANSALDO STS, Italy
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(creator_code:org_t)
- 2011
- 2011
- English.
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In: International Journal of Risk Assessment and Management. - 1466-8297 .- 1741-5241. ; 15:2-3, s. 204-220
- Related links:
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https://urn.kb.se/re...
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https://doi.org/10.1...
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https://urn.kb.se/re...
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Abstract
Subject headings
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- The design of physical security systems for critical infrastructures is a delicate task that requires a balance between the cost of protection mechanisms and their expected effect on risk mitigation. This paper presents an approach usable to support the design of security systems by automatically optimising some parameters, basing on external constraints (e.g., limited available budget) and using quantitative risk assessment. Risk assessment is performed using a software tool that implements a quantitative methodology. The methodology accounts for the attributes of threats (frequency, system vulnerability, expected consequences) and protection mechanisms (cost, effectiveness, coverage, etc.). The optimisation is performed by means of genetic algorithms with the objective of achieving the set of parameters that minimises the risk while fitting external budget constraints, hence maximising the return on investment. The paper also describes an example application of the approach to the design of physical security systems for metro railways.
Subject headings
- TEKNIK OCH TEKNOLOGIER -- Elektroteknik och elektronik -- Inbäddad systemteknik (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Electrical Engineering, Electronic Engineering, Information Engineering -- Embedded Systems (hsv//eng)
Keyword
- Decision support systems
- Infrastructure security
- Rail-based mass transit systems
- Return on investment
- Risk assessment
Publication and Content Type
- ref (subject category)
- art (subject category)
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