Optimizing physical protection system using domain experienced exploration method Article Swipe
Dejan Čakija
,
Željko Ban
,
Marin Golub
,
Dino Čakija
·
YOU?
·
· 2019
· Open Access
·
· DOI: https://doi.org/10.1080/00051144.2019.1698192
YOU?
·
· 2019
· Open Access
·
· DOI: https://doi.org/10.1080/00051144.2019.1698192
Assessing physical protection system efficiency is mostly done manually by security experts due to the complexity of the assessment process and lack of tools. Computer aided numerical vulnerability analysis has been developed to quantitatively assess physical protection systems. A variety of methods have been proposed to optimize physical protection systems, where one of the most advanced approaches entails precisely defining which security components should be selected and where they should be placed at protected facilities, taking into consideration adversary type, to maximize the probability that an adversary will be stopped at minimum system cost. The most computationally intensive part of the optimization process is the evaluation. The evaluation involves recreating search space and finding optimal adversary’s attack paths from each entry point. We present the domain experienced exploration method that optimizes evaluation process during the search for optimum solutions, considering results from previous evaluations. Performed experiments show that using the presented method, in real-world domains, results in a reduction of evaluation iterations.
Related Topics
Concepts
Adversary
Process (computing)
Vulnerability (computing)
Computer science
Domain (mathematical analysis)
Reduction (mathematics)
Variety (cybernetics)
Reliability engineering
Physical security
Point (geometry)
Distributed computing
Computer security
Engineering
Artificial intelligence
Mathematics
Geometry
Mathematical analysis
Operating system
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1080/00051144.2019.1698192
- https://www.tandfonline.com/doi/pdf/10.1080/00051144.2019.1698192?needAccess=true
- OA Status
- gold
- Cited By
- 6
- References
- 24
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W2994616295
All OpenAlex metadata
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https://doi.org/10.1080/00051144.2019.1698192Digital Object Identifier
- Title
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Optimizing physical protection system using domain experienced exploration methodWork title
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articleOpenAlex work type
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enPrimary language
- Publication year
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2019Year of publication
- Publication date
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2019-12-09Full publication date if available
- Authors
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Dejan Čakija, Željko Ban, Marin Golub, Dino ČakijaList of authors in order
- Landing page
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https://doi.org/10.1080/00051144.2019.1698192Publisher landing page
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https://www.tandfonline.com/doi/pdf/10.1080/00051144.2019.1698192?needAccess=trueDirect link to full text PDF
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goldOpen access status per OpenAlex
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https://www.tandfonline.com/doi/pdf/10.1080/00051144.2019.1698192?needAccess=trueDirect OA link when available
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Adversary, Process (computing), Vulnerability (computing), Computer science, Domain (mathematical analysis), Reduction (mathematics), Variety (cybernetics), Reliability engineering, Physical security, Point (geometry), Distributed computing, Computer security, Engineering, Artificial intelligence, Mathematics, Geometry, Mathematical analysis, Operating systemTop concepts (fields/topics) attached by OpenAlex
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6Total citation count in OpenAlex
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2025: 1, 2022: 4, 2021: 1Per-year citation counts (last 5 years)
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24Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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