A model-driven approach for vulnerability evaluation of modern physical protection systems
Abstract Modern physical protection systems integrate a number of security systems (including procedures, equipments, and personnel) into a single interface to ensure an adequate level of protection of people and critical assets against malevolent human actions. Due to the critical functions of a pr...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Drago, Annarita [verfasserIn] |
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| Format: |
Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2016 |
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| Schlagwörter: |
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| Anmerkung: |
© Springer-Verlag Berlin Heidelberg 2016 |
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| Übergeordnetes Werk: |
Enthalten in: Software and systems modeling - Springer Berlin Heidelberg, 2002, 18(2016), 1 vom: 26. Dez., Seite 523-556 |
|---|---|
| Übergeordnetes Werk: |
volume:18 ; year:2016 ; number:1 ; day:26 ; month:12 ; pages:523-556 |
| Links: |
|---|
| DOI / URN: |
10.1007/s10270-016-0572-7 |
|---|
| Katalog-ID: |
OLC2044248158 |
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| 520 | |a Abstract Modern physical protection systems integrate a number of security systems (including procedures, equipments, and personnel) into a single interface to ensure an adequate level of protection of people and critical assets against malevolent human actions. Due to the critical functions of a protection system, the quantitative evaluation of its effectiveness is an important issue that still raises several challenges. In this paper we propose a model-driven approach to support the design and the evaluation of physical protection systems based on (a) UML models representing threats, protection facilities, assets, and relationships among them, and (b) the automatic construction of a Bayesian Network model to estimate the vulnerability of different system configurations. Hence, the proposed approach is useful both in the context of vulnerability assessment and in designing new security systems as it enables what-if and cost–benefit analyses. A real-world case study is further illustrated in order to validate and demonstrate the potentiality of the approach. Specifically, two attack scenarios are considered against the depot of a mass transit transportation system in Milan, Italy. | ||
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| 650 | 4 | |a Vulnerability | |
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10.1007/s10270-016-0572-7 doi (DE-627)OLC2044248158 (DE-He213)s10270-016-0572-7-p DE-627 ger DE-627 rakwb eng 004 VZ 004 VZ 54.50$jProgrammierung: Allgemeines bkl Drago, Annarita verfasserin aut A model-driven approach for vulnerability evaluation of modern physical protection systems 2016 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer-Verlag Berlin Heidelberg 2016 Abstract Modern physical protection systems integrate a number of security systems (including procedures, equipments, and personnel) into a single interface to ensure an adequate level of protection of people and critical assets against malevolent human actions. Due to the critical functions of a protection system, the quantitative evaluation of its effectiveness is an important issue that still raises several challenges. In this paper we propose a model-driven approach to support the design and the evaluation of physical protection systems based on (a) UML models representing threats, protection facilities, assets, and relationships among them, and (b) the automatic construction of a Bayesian Network model to estimate the vulnerability of different system configurations. Hence, the proposed approach is useful both in the context of vulnerability assessment and in designing new security systems as it enables what-if and cost–benefit analyses. A real-world case study is further illustrated in order to validate and demonstrate the potentiality of the approach. Specifically, two attack scenarios are considered against the depot of a mass transit transportation system in Milan, Italy. Physical security Vulnerability CIP_VAM UML profile Bayesian Network Model transformation Railway infrastructure system Marrone, Stefano aut Mazzocca, Nicola aut Nardone, Roberto aut Tedesco, Annarita aut Vittorini, Valeria aut Enthalten in Software and systems modeling Springer Berlin Heidelberg, 2002 18(2016), 1 vom: 26. Dez., Seite 523-556 (DE-627)356568156 (DE-600)2092265-6 (DE-576)10203768X 1619-1366 nnns volume:18 year:2016 number:1 day:26 month:12 pages:523-556 https://doi.org/10.1007/s10270-016-0572-7 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-MAT GBV_ILN_70 GBV_ILN_2018 GBV_ILN_2244 GBV_ILN_4046 GBV_ILN_4277 54.50$jProgrammierung: Allgemeines VZ 181569876 (DE-625)181569876 AR 18 2016 1 26 12 523-556 |
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10.1007/s10270-016-0572-7 doi (DE-627)OLC2044248158 (DE-He213)s10270-016-0572-7-p DE-627 ger DE-627 rakwb eng 004 VZ 004 VZ 54.50$jProgrammierung: Allgemeines bkl Drago, Annarita verfasserin aut A model-driven approach for vulnerability evaluation of modern physical protection systems 2016 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer-Verlag Berlin Heidelberg 2016 Abstract Modern physical protection systems integrate a number of security systems (including procedures, equipments, and personnel) into a single interface to ensure an adequate level of protection of people and critical assets against malevolent human actions. Due to the critical functions of a protection system, the quantitative evaluation of its effectiveness is an important issue that still raises several challenges. In this paper we propose a model-driven approach to support the design and the evaluation of physical protection systems based on (a) UML models representing threats, protection facilities, assets, and relationships among them, and (b) the automatic construction of a Bayesian Network model to estimate the vulnerability of different system configurations. Hence, the proposed approach is useful both in the context of vulnerability assessment and in designing new security systems as it enables what-if and cost–benefit analyses. A real-world case study is further illustrated in order to validate and demonstrate the potentiality of the approach. Specifically, two attack scenarios are considered against the depot of a mass transit transportation system in Milan, Italy. Physical security Vulnerability CIP_VAM UML profile Bayesian Network Model transformation Railway infrastructure system Marrone, Stefano aut Mazzocca, Nicola aut Nardone, Roberto aut Tedesco, Annarita aut Vittorini, Valeria aut Enthalten in Software and systems modeling Springer Berlin Heidelberg, 2002 18(2016), 1 vom: 26. Dez., Seite 523-556 (DE-627)356568156 (DE-600)2092265-6 (DE-576)10203768X 1619-1366 nnns volume:18 year:2016 number:1 day:26 month:12 pages:523-556 https://doi.org/10.1007/s10270-016-0572-7 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-MAT GBV_ILN_70 GBV_ILN_2018 GBV_ILN_2244 GBV_ILN_4046 GBV_ILN_4277 54.50$jProgrammierung: Allgemeines VZ 181569876 (DE-625)181569876 AR 18 2016 1 26 12 523-556 |
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10.1007/s10270-016-0572-7 doi (DE-627)OLC2044248158 (DE-He213)s10270-016-0572-7-p DE-627 ger DE-627 rakwb eng 004 VZ 004 VZ 54.50$jProgrammierung: Allgemeines bkl Drago, Annarita verfasserin aut A model-driven approach for vulnerability evaluation of modern physical protection systems 2016 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer-Verlag Berlin Heidelberg 2016 Abstract Modern physical protection systems integrate a number of security systems (including procedures, equipments, and personnel) into a single interface to ensure an adequate level of protection of people and critical assets against malevolent human actions. Due to the critical functions of a protection system, the quantitative evaluation of its effectiveness is an important issue that still raises several challenges. In this paper we propose a model-driven approach to support the design and the evaluation of physical protection systems based on (a) UML models representing threats, protection facilities, assets, and relationships among them, and (b) the automatic construction of a Bayesian Network model to estimate the vulnerability of different system configurations. Hence, the proposed approach is useful both in the context of vulnerability assessment and in designing new security systems as it enables what-if and cost–benefit analyses. A real-world case study is further illustrated in order to validate and demonstrate the potentiality of the approach. Specifically, two attack scenarios are considered against the depot of a mass transit transportation system in Milan, Italy. Physical security Vulnerability CIP_VAM UML profile Bayesian Network Model transformation Railway infrastructure system Marrone, Stefano aut Mazzocca, Nicola aut Nardone, Roberto aut Tedesco, Annarita aut Vittorini, Valeria aut Enthalten in Software and systems modeling Springer Berlin Heidelberg, 2002 18(2016), 1 vom: 26. Dez., Seite 523-556 (DE-627)356568156 (DE-600)2092265-6 (DE-576)10203768X 1619-1366 nnns volume:18 year:2016 number:1 day:26 month:12 pages:523-556 https://doi.org/10.1007/s10270-016-0572-7 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-MAT GBV_ILN_70 GBV_ILN_2018 GBV_ILN_2244 GBV_ILN_4046 GBV_ILN_4277 54.50$jProgrammierung: Allgemeines VZ 181569876 (DE-625)181569876 AR 18 2016 1 26 12 523-556 |
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A model-driven approach for vulnerability evaluation of modern physical protection systems |
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A model-driven approach for vulnerability evaluation of modern physical protection systems |
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Drago, Annarita |
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Software and systems modeling |
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Drago, Annarita Marrone, Stefano Mazzocca, Nicola Nardone, Roberto Tedesco, Annarita Vittorini, Valeria |
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a model-driven approach for vulnerability evaluation of modern physical protection systems |
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A model-driven approach for vulnerability evaluation of modern physical protection systems |
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Abstract Modern physical protection systems integrate a number of security systems (including procedures, equipments, and personnel) into a single interface to ensure an adequate level of protection of people and critical assets against malevolent human actions. Due to the critical functions of a protection system, the quantitative evaluation of its effectiveness is an important issue that still raises several challenges. In this paper we propose a model-driven approach to support the design and the evaluation of physical protection systems based on (a) UML models representing threats, protection facilities, assets, and relationships among them, and (b) the automatic construction of a Bayesian Network model to estimate the vulnerability of different system configurations. Hence, the proposed approach is useful both in the context of vulnerability assessment and in designing new security systems as it enables what-if and cost–benefit analyses. A real-world case study is further illustrated in order to validate and demonstrate the potentiality of the approach. Specifically, two attack scenarios are considered against the depot of a mass transit transportation system in Milan, Italy. © Springer-Verlag Berlin Heidelberg 2016 |
| abstractGer |
Abstract Modern physical protection systems integrate a number of security systems (including procedures, equipments, and personnel) into a single interface to ensure an adequate level of protection of people and critical assets against malevolent human actions. Due to the critical functions of a protection system, the quantitative evaluation of its effectiveness is an important issue that still raises several challenges. In this paper we propose a model-driven approach to support the design and the evaluation of physical protection systems based on (a) UML models representing threats, protection facilities, assets, and relationships among them, and (b) the automatic construction of a Bayesian Network model to estimate the vulnerability of different system configurations. Hence, the proposed approach is useful both in the context of vulnerability assessment and in designing new security systems as it enables what-if and cost–benefit analyses. A real-world case study is further illustrated in order to validate and demonstrate the potentiality of the approach. Specifically, two attack scenarios are considered against the depot of a mass transit transportation system in Milan, Italy. © Springer-Verlag Berlin Heidelberg 2016 |
| abstract_unstemmed |
Abstract Modern physical protection systems integrate a number of security systems (including procedures, equipments, and personnel) into a single interface to ensure an adequate level of protection of people and critical assets against malevolent human actions. Due to the critical functions of a protection system, the quantitative evaluation of its effectiveness is an important issue that still raises several challenges. In this paper we propose a model-driven approach to support the design and the evaluation of physical protection systems based on (a) UML models representing threats, protection facilities, assets, and relationships among them, and (b) the automatic construction of a Bayesian Network model to estimate the vulnerability of different system configurations. Hence, the proposed approach is useful both in the context of vulnerability assessment and in designing new security systems as it enables what-if and cost–benefit analyses. A real-world case study is further illustrated in order to validate and demonstrate the potentiality of the approach. Specifically, two attack scenarios are considered against the depot of a mass transit transportation system in Milan, Italy. © Springer-Verlag Berlin Heidelberg 2016 |
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A model-driven approach for vulnerability evaluation of modern physical protection systems |
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Marrone, Stefano Mazzocca, Nicola Nardone, Roberto Tedesco, Annarita Vittorini, Valeria |
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