SlideShare a Scribd company logo

Petri Net Modelling of Physical Vulnerability

•Download as PPT, PDF•
•
S
stefanounina2

The sildes are relative to the presentation of an omonymous paper at the 6th international conference on critical information infrastructure security (CRITIS 2011). The paper is about the evaluation of the vulnerability of a physical protection system by the use of an extensible and customizable Petri Net model.

Technology
1 of 15
Petri Net Modelling of Physical Vulnerability F. Flammini, S. Marrone, N. Mazzocca, V. Vittorini Stefano Marrone Dept. of Mathematics Second University of Naples CRITIS 2011 September 8-9, 2011 Luzern, Switzerland
Outline ,[object Object],[object Object],[object Object],[object Object],[object Object],S. Marrone - Petri Net Modelling of Physical Vulnerability
Evaluation of physical protection ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],S. Marrone - Petri Net Modelling of Physical Vulnerability
Evaluation of physical protection ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],S. Marrone - Petri Net Modelling of Physical Vulnerability Frequency of the Threat Likelihood that attack is successful Damage an attack provokes
Challenges in vulnerability modelling ,[object Object],[object Object],[object Object],[object Object],S. Marrone - Petri Net Modelling of Physical Vulnerability effectiveness detection interruption neutralization sensing assessement
Challenges in vulnerability modelling ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],S. Marrone - Petri Net Modelling of Physical Vulnerability Petri Nets Compositional extensible approach
Petri Net vulnerability Models ,[object Object],[object Object],[object Object],[object Object],[object Object],S. Marrone - Petri Net Modelling of Physical Vulnerability
Petri Net vulnerability Models ,[object Object],S. Marrone - Petri Net Modelling of Physical Vulnerability reaction delay (sensing, assessement, response) delay to accomplish attack
Petri Net vulnerability Models ,[object Object],[object Object],S. Marrone - Petri Net Modelling of Physical Vulnerability
Petri Net vulnerability Models ,[object Object],S. Marrone - Petri Net Modelling of Physical Vulnerability
Evaluation on case studies ,[object Object],[object Object],[object Object],S. Marrone - Petri Net Modelling of Physical Vulnerability Probability Latency Sensing (magnetic switches) P S = 98% L S = 5 sec Assessment (control room) P A = 95% L A = 45 sec Response (remote guards) P N = 95% L R = 180 sec Attack accomplishment (disconnect server and get out of room) L T =120 sec
Evaluation on case studies ,[object Object],[object Object],S. Marrone - Petri Net Modelling of Physical Vulnerability Probability Latency Sensing (CBRNe detectors) P S = 95% L S = 15 sec Assessment (detection of source in crowded area) P A = 95% L A = 30 sec Response (local guards) P N = 95% L R = 30 sec Attack accomplishment (deflagrate, etc...) L T = 30 sec
Evaluation on case studies ,[object Object],[object Object],[object Object],[object Object],[object Object],S. Marrone - Petri Net Modelling of Physical Vulnerability
Conclusions ,[object Object],[object Object],[object Object],[object Object],[object Object],S. Marrone - Petri Net Modelling of Physical Vulnerability Essentially, all models are wrong, but some are useful
Safecomp 2011 ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],S. Marrone - Petri Net Modelling of Physical Vulnerability

Recommended

Virtual storytelling
Virtual storytellingVirtual storytelling
Virtual storytellingAdam Abonyi
 
Service Interaction: Patterns, Formalization, and Analysis
Service Interaction: Patterns, Formalization, and AnalysisService Interaction: Patterns, Formalization, and Analysis
Service Interaction: Patterns, Formalization, and AnalysisWil van der Aalst
 
Critis08 Q Ra
Critis08 Q RaCritis08 Q Ra
Critis08 Q RaFrancesco Flammini
 
20150122 cisec mbsa-lismma
20150122 cisec mbsa-lismma20150122 cisec mbsa-lismma
20150122 cisec mbsa-lismmaCISEC
 
IET SSCS 2018
IET SSCS 2018IET SSCS 2018
IET SSCS 2018MoojanPordelkhaki
 
“AI techniques in cyber-security applications”. Flammini lnu susec19
“AI techniques in cyber-security applications”. Flammini lnu susec19“AI techniques in cyber-security applications”. Flammini lnu susec19
“AI techniques in cyber-security applications”. Flammini lnu susec19Francesco Flammini
 
IDRC-Davos-250814-R.Filippini-final
IDRC-Davos-250814-R.Filippini-finalIDRC-Davos-250814-R.Filippini-final
IDRC-Davos-250814-R.Filippini-finalGlobal Risk Forum GRFDavos
 
Intrusion Prevention through Optimal Stopping and Self-Play
Intrusion Prevention through Optimal Stopping and Self-PlayIntrusion Prevention through Optimal Stopping and Self-Play
Intrusion Prevention through Optimal Stopping and Self-PlayKim Hammar
 

Recommended

Virtual storytelling
Virtual storytellingVirtual storytelling
Virtual storytellingAdam Abonyi
 
Service Interaction: Patterns, Formalization, and Analysis
Service Interaction: Patterns, Formalization, and AnalysisService Interaction: Patterns, Formalization, and Analysis
Service Interaction: Patterns, Formalization, and AnalysisWil van der Aalst
 
Critis08 Q Ra
Critis08 Q RaCritis08 Q Ra
Critis08 Q RaFrancesco Flammini
 
20150122 cisec mbsa-lismma
20150122 cisec mbsa-lismma20150122 cisec mbsa-lismma
20150122 cisec mbsa-lismmaCISEC
 
IET SSCS 2018
IET SSCS 2018IET SSCS 2018
IET SSCS 2018MoojanPordelkhaki
 
“AI techniques in cyber-security applications”. Flammini lnu susec19
“AI techniques in cyber-security applications”. Flammini lnu susec19“AI techniques in cyber-security applications”. Flammini lnu susec19
“AI techniques in cyber-security applications”. Flammini lnu susec19Francesco Flammini
 
IDRC-Davos-250814-R.Filippini-final
IDRC-Davos-250814-R.Filippini-finalIDRC-Davos-250814-R.Filippini-final
IDRC-Davos-250814-R.Filippini-finalGlobal Risk Forum GRFDavos
 
Intrusion Prevention through Optimal Stopping and Self-Play
Intrusion Prevention through Optimal Stopping and Self-PlayIntrusion Prevention through Optimal Stopping and Self-Play
Intrusion Prevention through Optimal Stopping and Self-PlayKim Hammar
 
Mitchell-TR12-slide.pptx
Mitchell-TR12-slide.pptxMitchell-TR12-slide.pptx
Mitchell-TR12-slide.pptxMahmoudElsisi11
 
Learning Security Strategies through Game Play and Optimal Stopping
Learning Security Strategies through Game Play and Optimal StoppingLearning Security Strategies through Game Play and Optimal Stopping
Learning Security Strategies through Game Play and Optimal StoppingKim Hammar
 
Kost for china-2011
Kost for china-2011Kost for china-2011
Kost for china-2011Mathmodels Net
 
ARES - SeCIHD'11 Francesco Flammini
ARES - SeCIHD'11 Francesco FlamminiARES - SeCIHD'11 Francesco Flammini
ARES - SeCIHD'11 Francesco FlamminiFrancesco Flammini
 
Towards a Novel and Applicable Approach for Resilience Engineering, Ivo HAERING
Towards a Novel and Applicable Approach for Resilience Engineering, Ivo HAERINGTowards a Novel and Applicable Approach for Resilience Engineering, Ivo HAERING
Towards a Novel and Applicable Approach for Resilience Engineering, Ivo HAERINGGlobal Risk Forum GRFDavos
 
Kostogryzov 10.12.2009
Kostogryzov 10.12.2009Kostogryzov 10.12.2009
Kostogryzov 10.12.2009Mathmodels Net
 
n-Tier Modelling of Robust Key management for Secure Data Aggregation in Wire...
n-Tier Modelling of Robust Key management for Secure Data Aggregation in Wire...n-Tier Modelling of Robust Key management for Secure Data Aggregation in Wire...
n-Tier Modelling of Robust Key management for Secure Data Aggregation in Wire...IJECEIAES
 
50120130405032
5012013040503250120130405032
50120130405032IAEME Publication
 
2010 IEEE International Conf. on Dependability of Computer Systems - DepCoS
2010 IEEE International Conf. on Dependability of Computer Systems - DepCoS2010 IEEE International Conf. on Dependability of Computer Systems - DepCoS
2010 IEEE International Conf. on Dependability of Computer Systems - DepCoSdt39127
 
Self-learning Intrusion Prevention Systems.
Self-learning Intrusion Prevention Systems.Self-learning Intrusion Prevention Systems.
Self-learning Intrusion Prevention Systems.Kim Hammar
 
Loss Prevention 2013 - atmospheric dispersion modelling by cellular automata ...
Loss Prevention 2013 - atmospheric dispersion modelling by cellular automata ...Loss Prevention 2013 - atmospheric dispersion modelling by cellular automata ...
Loss Prevention 2013 - atmospheric dispersion modelling by cellular automata ...Pierre Lauret
 
Hybrid layer of protection analysis and bow tie analysis with fuzzy approach ...
Hybrid layer of protection analysis and bow tie analysis with fuzzy approach ...Hybrid layer of protection analysis and bow tie analysis with fuzzy approach ...
Hybrid layer of protection analysis and bow tie analysis with fuzzy approach ...IAEME Publication
 
INTELLIGENT MALWARE DETECTION USING EXTREME LEARNING MACHINE
INTELLIGENT MALWARE DETECTION USING EXTREME LEARNING MACHINEINTELLIGENT MALWARE DETECTION USING EXTREME LEARNING MACHINE
INTELLIGENT MALWARE DETECTION USING EXTREME LEARNING MACHINEIRJET Journal
 
Automated Attack Surface Approximation [FSE - SRC 2015]
Automated Attack Surface Approximation [FSE - SRC 2015]Automated Attack Surface Approximation [FSE - SRC 2015]
Automated Attack Surface Approximation [FSE - SRC 2015]Chris Theisen
 
Quantitive Time Series Analysis of Malware and Vulnerability Trends
Quantitive Time Series Analysis of Malware and Vulnerability TrendsQuantitive Time Series Analysis of Malware and Vulnerability Trends
Quantitive Time Series Analysis of Malware and Vulnerability Trendsamiable_indian
 
Who Watches the Watchers? Metrics for Security Strategy
Who Watches the Watchers? Metrics for Security StrategyWho Watches the Watchers? Metrics for Security Strategy
Who Watches the Watchers? Metrics for Security StrategyKenna
 
M.tech Syllabus
M.tech SyllabusM.tech Syllabus
M.tech SyllabusAndrewsJose
 
Security of Machine Learning
Security of Machine LearningSecurity of Machine Learning
Security of Machine LearningInstitute of Contemporary Sciences
 
Doctoral Thesis Presentation
Doctoral Thesis PresentationDoctoral Thesis Presentation
Doctoral Thesis Presentationdt39127
 
Software safety in embedded systems & software safety why, what, and how
Software safety in embedded systems & software safety why, what, and how Software safety in embedded systems & software safety why, what, and how
Software safety in embedded systems & software safety why, what, and how bdemchak
 
[2024]Digital Global Overview Report 2024 Meltwater.pdf
[2024]Digital Global Overview Report 2024 Meltwater.pdf[2024]Digital Global Overview Report 2024 Meltwater.pdf
[2024]Digital Global Overview Report 2024 Meltwater.pdfhans926745
 
GenCyber Cyber Security Day Presentation
GenCyber Cyber Security Day PresentationGenCyber Cyber Security Day Presentation
GenCyber Cyber Security Day PresentationMichael W. Hawkins
 

More Related Content

Similar to Petri Net Modelling of Physical Vulnerability

Mitchell-TR12-slide.pptx
Mitchell-TR12-slide.pptxMitchell-TR12-slide.pptx
Mitchell-TR12-slide.pptxMahmoudElsisi11
 
Learning Security Strategies through Game Play and Optimal Stopping
Learning Security Strategies through Game Play and Optimal StoppingLearning Security Strategies through Game Play and Optimal Stopping
Learning Security Strategies through Game Play and Optimal StoppingKim Hammar
 
ARES - SeCIHD'11 Francesco Flammini
ARES - SeCIHD'11 Francesco FlamminiARES - SeCIHD'11 Francesco Flammini
ARES - SeCIHD'11 Francesco FlamminiFrancesco Flammini
 
Towards a Novel and Applicable Approach for Resilience Engineering, Ivo HAERING
Towards a Novel and Applicable Approach for Resilience Engineering, Ivo HAERINGTowards a Novel and Applicable Approach for Resilience Engineering, Ivo HAERING
Towards a Novel and Applicable Approach for Resilience Engineering, Ivo HAERINGGlobal Risk Forum GRFDavos
 
Kostogryzov 10.12.2009
Kostogryzov 10.12.2009Kostogryzov 10.12.2009
Kostogryzov 10.12.2009Mathmodels Net
 
n-Tier Modelling of Robust Key management for Secure Data Aggregation in Wire...
n-Tier Modelling of Robust Key management for Secure Data Aggregation in Wire...n-Tier Modelling of Robust Key management for Secure Data Aggregation in Wire...
n-Tier Modelling of Robust Key management for Secure Data Aggregation in Wire...IJECEIAES
 
2010 IEEE International Conf. on Dependability of Computer Systems - DepCoS
2010 IEEE International Conf. on Dependability of Computer Systems - DepCoS2010 IEEE International Conf. on Dependability of Computer Systems - DepCoS
2010 IEEE International Conf. on Dependability of Computer Systems - DepCoSdt39127
 
Self-learning Intrusion Prevention Systems.
Self-learning Intrusion Prevention Systems.Self-learning Intrusion Prevention Systems.
Self-learning Intrusion Prevention Systems.Kim Hammar
 
Loss Prevention 2013 - atmospheric dispersion modelling by cellular automata ...
Loss Prevention 2013 - atmospheric dispersion modelling by cellular automata ...Loss Prevention 2013 - atmospheric dispersion modelling by cellular automata ...
Loss Prevention 2013 - atmospheric dispersion modelling by cellular automata ...Pierre Lauret
 
Hybrid layer of protection analysis and bow tie analysis with fuzzy approach ...
Hybrid layer of protection analysis and bow tie analysis with fuzzy approach ...Hybrid layer of protection analysis and bow tie analysis with fuzzy approach ...
Hybrid layer of protection analysis and bow tie analysis with fuzzy approach ...IAEME Publication
 
INTELLIGENT MALWARE DETECTION USING EXTREME LEARNING MACHINE
INTELLIGENT MALWARE DETECTION USING EXTREME LEARNING MACHINEINTELLIGENT MALWARE DETECTION USING EXTREME LEARNING MACHINE
INTELLIGENT MALWARE DETECTION USING EXTREME LEARNING MACHINEIRJET Journal
 
Automated Attack Surface Approximation [FSE - SRC 2015]
Automated Attack Surface Approximation [FSE - SRC 2015]Automated Attack Surface Approximation [FSE - SRC 2015]
Automated Attack Surface Approximation [FSE - SRC 2015]Chris Theisen
 
Quantitive Time Series Analysis of Malware and Vulnerability Trends
Quantitive Time Series Analysis of Malware and Vulnerability TrendsQuantitive Time Series Analysis of Malware and Vulnerability Trends
Quantitive Time Series Analysis of Malware and Vulnerability Trendsamiable_indian
 
Who Watches the Watchers? Metrics for Security Strategy
Who Watches the Watchers? Metrics for Security StrategyWho Watches the Watchers? Metrics for Security Strategy
Who Watches the Watchers? Metrics for Security StrategyKenna
 
Doctoral Thesis Presentation
Doctoral Thesis PresentationDoctoral Thesis Presentation
Doctoral Thesis Presentationdt39127
 
Software safety in embedded systems & software safety why, what, and how
Software safety in embedded systems & software safety why, what, and how Software safety in embedded systems & software safety why, what, and how
Software safety in embedded systems & software safety why, what, and how bdemchak
 

Similar to Petri Net Modelling of Physical Vulnerability (20)

Mitchell-TR12-slide.pptx
Mitchell-TR12-slide.pptxMitchell-TR12-slide.pptx
Mitchell-TR12-slide.pptx
 
Learning Security Strategies through Game Play and Optimal Stopping
Learning Security Strategies through Game Play and Optimal StoppingLearning Security Strategies through Game Play and Optimal Stopping
Learning Security Strategies through Game Play and Optimal Stopping
 
Kost for china-2011
Kost for china-2011Kost for china-2011
Kost for china-2011
 
ARES - SeCIHD'11 Francesco Flammini
ARES - SeCIHD'11 Francesco FlamminiARES - SeCIHD'11 Francesco Flammini
ARES - SeCIHD'11 Francesco Flammini
 
Towards a Novel and Applicable Approach for Resilience Engineering, Ivo HAERING
Towards a Novel and Applicable Approach for Resilience Engineering, Ivo HAERINGTowards a Novel and Applicable Approach for Resilience Engineering, Ivo HAERING
Towards a Novel and Applicable Approach for Resilience Engineering, Ivo HAERING
 
Kostogryzov 10.12.2009
Kostogryzov 10.12.2009Kostogryzov 10.12.2009
Kostogryzov 10.12.2009
 
n-Tier Modelling of Robust Key management for Secure Data Aggregation in Wire...
n-Tier Modelling of Robust Key management for Secure Data Aggregation in Wire...n-Tier Modelling of Robust Key management for Secure Data Aggregation in Wire...
n-Tier Modelling of Robust Key management for Secure Data Aggregation in Wire...
 
50120130405032
5012013040503250120130405032
50120130405032
 
2010 IEEE International Conf. on Dependability of Computer Systems - DepCoS
2010 IEEE International Conf. on Dependability of Computer Systems - DepCoS2010 IEEE International Conf. on Dependability of Computer Systems - DepCoS
2010 IEEE International Conf. on Dependability of Computer Systems - DepCoS
 
Self-learning Intrusion Prevention Systems.
Self-learning Intrusion Prevention Systems.Self-learning Intrusion Prevention Systems.
Self-learning Intrusion Prevention Systems.
 
Loss Prevention 2013 - atmospheric dispersion modelling by cellular automata ...
Loss Prevention 2013 - atmospheric dispersion modelling by cellular automata ...Loss Prevention 2013 - atmospheric dispersion modelling by cellular automata ...
Loss Prevention 2013 - atmospheric dispersion modelling by cellular automata ...
 
Hybrid layer of protection analysis and bow tie analysis with fuzzy approach ...
Hybrid layer of protection analysis and bow tie analysis with fuzzy approach ...Hybrid layer of protection analysis and bow tie analysis with fuzzy approach ...
Hybrid layer of protection analysis and bow tie analysis with fuzzy approach ...
 
INTELLIGENT MALWARE DETECTION USING EXTREME LEARNING MACHINE
INTELLIGENT MALWARE DETECTION USING EXTREME LEARNING MACHINEINTELLIGENT MALWARE DETECTION USING EXTREME LEARNING MACHINE
INTELLIGENT MALWARE DETECTION USING EXTREME LEARNING MACHINE
 
Automated Attack Surface Approximation [FSE - SRC 2015]
Automated Attack Surface Approximation [FSE - SRC 2015]Automated Attack Surface Approximation [FSE - SRC 2015]
Automated Attack Surface Approximation [FSE - SRC 2015]
 
Quantitive Time Series Analysis of Malware and Vulnerability Trends
Quantitive Time Series Analysis of Malware and Vulnerability TrendsQuantitive Time Series Analysis of Malware and Vulnerability Trends
Quantitive Time Series Analysis of Malware and Vulnerability Trends
 
Who Watches the Watchers? Metrics for Security Strategy
Who Watches the Watchers? Metrics for Security StrategyWho Watches the Watchers? Metrics for Security Strategy
Who Watches the Watchers? Metrics for Security Strategy
 
M.tech Syllabus
M.tech SyllabusM.tech Syllabus
M.tech Syllabus
 
Security of Machine Learning
Security of Machine LearningSecurity of Machine Learning
Security of Machine Learning
 
Doctoral Thesis Presentation
Doctoral Thesis PresentationDoctoral Thesis Presentation
Doctoral Thesis Presentation
 
Software safety in embedded systems & software safety why, what, and how
Software safety in embedded systems & software safety why, what, and how Software safety in embedded systems & software safety why, what, and how
Software safety in embedded systems & software safety why, what, and how
 

Recently uploaded

[2024]Digital Global Overview Report 2024 Meltwater.pdf
[2024]Digital Global Overview Report 2024 Meltwater.pdf[2024]Digital Global Overview Report 2024 Meltwater.pdf
[2024]Digital Global Overview Report 2024 Meltwater.pdfhans926745
 
GenCyber Cyber Security Day Presentation
GenCyber Cyber Security Day PresentationGenCyber Cyber Security Day Presentation
GenCyber Cyber Security Day PresentationMichael W. Hawkins
 
Advantages of Hiring UIUX Design Service Providers for Your Business
Advantages of Hiring UIUX Design Service Providers for Your BusinessAdvantages of Hiring UIUX Design Service Providers for Your Business
Advantages of Hiring UIUX Design Service Providers for Your BusinessPixlogix Infotech
 
04-2024-HHUG-Sales-and-Marketing-Alignment.pptx
04-2024-HHUG-Sales-and-Marketing-Alignment.pptx04-2024-HHUG-Sales-and-Marketing-Alignment.pptx
04-2024-HHUG-Sales-and-Marketing-Alignment.pptxHampshireHUG
 
A Year of the Servo Reboot: Where Are We Now?
A Year of the Servo Reboot: Where Are We Now?A Year of the Servo Reboot: Where Are We Now?
A Year of the Servo Reboot: Where Are We Now?Igalia
 
Apidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, Adobe
Apidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, AdobeApidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, Adobe
Apidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, Adobeapidays
 
HTML Injection Attacks: Impact and Mitigation Strategies
HTML Injection Attacks: Impact and Mitigation StrategiesHTML Injection Attacks: Impact and Mitigation Strategies
HTML Injection Attacks: Impact and Mitigation StrategiesBoston Institute of Analytics
 
Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024
Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024
Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024The Digital Insurer
 
ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemke
ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemkeProductAnonymous-April2024-WinProductDiscovery-MelissaKlemke
ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemkeProduct Anonymous
 
Apidays New York 2024 - The value of a flexible API Management solution for O...
Apidays New York 2024 - The value of a flexible API Management solution for O...Apidays New York 2024 - The value of a flexible API Management solution for O...
Apidays New York 2024 - The value of a flexible API Management solution for O...apidays
 
From Event to Action: Accelerate Your Decision Making with Real-Time Automation
From Event to Action: Accelerate Your Decision Making with Real-Time AutomationFrom Event to Action: Accelerate Your Decision Making with Real-Time Automation
From Event to Action: Accelerate Your Decision Making with Real-Time AutomationSafe Software
 
TrustArc Webinar - Unlock the Power of AI-Driven Data Discovery
TrustArc Webinar - Unlock the Power of AI-Driven Data DiscoveryTrustArc Webinar - Unlock the Power of AI-Driven Data Discovery
TrustArc Webinar - Unlock the Power of AI-Driven Data DiscoveryTrustArc
 
Finology Group – Insurtech Innovation Award 2024
Finology Group – Insurtech Innovation Award 2024Finology Group – Insurtech Innovation Award 2024
Finology Group – Insurtech Innovation Award 2024The Digital Insurer
 
2024: Domino Containers - The Next Step. News from the Domino Container commu...
2024: Domino Containers - The Next Step. News from the Domino Container commu...2024: Domino Containers - The Next Step. News from the Domino Container commu...
2024: Domino Containers - The Next Step. News from the Domino Container commu...Martijn de Jong
 
Strategies for Landing an Oracle DBA Job as a Fresher
Strategies for Landing an Oracle DBA Job as a FresherStrategies for Landing an Oracle DBA Job as a Fresher
Strategies for Landing an Oracle DBA Job as a FresherRemote DBA Services
 
Scaling API-first – The story of a global engineering organization
Scaling API-first – The story of a global engineering organizationScaling API-first – The story of a global engineering organization
Scaling API-first – The story of a global engineering organizationRadu Cotescu
 
Developing An App To Navigate The Roads of Brazil
Developing An App To Navigate The Roads of BrazilDeveloping An App To Navigate The Roads of Brazil
Developing An App To Navigate The Roads of BrazilV3cube
 
TrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments
TrustArc Webinar - Stay Ahead of US State Data Privacy Law DevelopmentsTrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments
TrustArc Webinar - Stay Ahead of US State Data Privacy Law DevelopmentsTrustArc
 
Handwritten Text Recognition for manuscripts and early printed texts
Handwritten Text Recognition for manuscripts and early printed textsHandwritten Text Recognition for manuscripts and early printed texts
Handwritten Text Recognition for manuscripts and early printed textsMaria Levchenko
 
AWS Community Day CPH - Three problems of Terraform
AWS Community Day CPH - Three problems of TerraformAWS Community Day CPH - Three problems of Terraform
AWS Community Day CPH - Three problems of TerraformAndrey Devyatkin
 

Recently uploaded (20)

[2024]Digital Global Overview Report 2024 Meltwater.pdf
[2024]Digital Global Overview Report 2024 Meltwater.pdf[2024]Digital Global Overview Report 2024 Meltwater.pdf
[2024]Digital Global Overview Report 2024 Meltwater.pdf
 
GenCyber Cyber Security Day Presentation
GenCyber Cyber Security Day PresentationGenCyber Cyber Security Day Presentation
GenCyber Cyber Security Day Presentation
 
Advantages of Hiring UIUX Design Service Providers for Your Business
Advantages of Hiring UIUX Design Service Providers for Your BusinessAdvantages of Hiring UIUX Design Service Providers for Your Business
Advantages of Hiring UIUX Design Service Providers for Your Business
 
04-2024-HHUG-Sales-and-Marketing-Alignment.pptx
04-2024-HHUG-Sales-and-Marketing-Alignment.pptx04-2024-HHUG-Sales-and-Marketing-Alignment.pptx
04-2024-HHUG-Sales-and-Marketing-Alignment.pptx
 
A Year of the Servo Reboot: Where Are We Now?
A Year of the Servo Reboot: Where Are We Now?A Year of the Servo Reboot: Where Are We Now?
A Year of the Servo Reboot: Where Are We Now?
 
Apidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, Adobe
Apidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, AdobeApidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, Adobe
Apidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, Adobe
 
HTML Injection Attacks: Impact and Mitigation Strategies
HTML Injection Attacks: Impact and Mitigation StrategiesHTML Injection Attacks: Impact and Mitigation Strategies
HTML Injection Attacks: Impact and Mitigation Strategies
 
Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024
Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024
Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024
 
ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemke
ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemkeProductAnonymous-April2024-WinProductDiscovery-MelissaKlemke
ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemke
 
Apidays New York 2024 - The value of a flexible API Management solution for O...
Apidays New York 2024 - The value of a flexible API Management solution for O...Apidays New York 2024 - The value of a flexible API Management solution for O...
Apidays New York 2024 - The value of a flexible API Management solution for O...
 
From Event to Action: Accelerate Your Decision Making with Real-Time Automation
From Event to Action: Accelerate Your Decision Making with Real-Time AutomationFrom Event to Action: Accelerate Your Decision Making with Real-Time Automation
From Event to Action: Accelerate Your Decision Making with Real-Time Automation
 
TrustArc Webinar - Unlock the Power of AI-Driven Data Discovery
TrustArc Webinar - Unlock the Power of AI-Driven Data DiscoveryTrustArc Webinar - Unlock the Power of AI-Driven Data Discovery
TrustArc Webinar - Unlock the Power of AI-Driven Data Discovery
 
Finology Group – Insurtech Innovation Award 2024
Finology Group – Insurtech Innovation Award 2024Finology Group – Insurtech Innovation Award 2024
Finology Group – Insurtech Innovation Award 2024
 
2024: Domino Containers - The Next Step. News from the Domino Container commu...
2024: Domino Containers - The Next Step. News from the Domino Container commu...2024: Domino Containers - The Next Step. News from the Domino Container commu...
2024: Domino Containers - The Next Step. News from the Domino Container commu...
 
Strategies for Landing an Oracle DBA Job as a Fresher
Strategies for Landing an Oracle DBA Job as a FresherStrategies for Landing an Oracle DBA Job as a Fresher
Strategies for Landing an Oracle DBA Job as a Fresher
 
Scaling API-first – The story of a global engineering organization
Scaling API-first – The story of a global engineering organizationScaling API-first – The story of a global engineering organization
Scaling API-first – The story of a global engineering organization
 
Developing An App To Navigate The Roads of Brazil
Developing An App To Navigate The Roads of BrazilDeveloping An App To Navigate The Roads of Brazil
Developing An App To Navigate The Roads of Brazil
 
TrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments
TrustArc Webinar - Stay Ahead of US State Data Privacy Law DevelopmentsTrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments
TrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments
 
Handwritten Text Recognition for manuscripts and early printed texts
Handwritten Text Recognition for manuscripts and early printed textsHandwritten Text Recognition for manuscripts and early printed texts
Handwritten Text Recognition for manuscripts and early printed texts
 
AWS Community Day CPH - Three problems of Terraform
AWS Community Day CPH - Three problems of TerraformAWS Community Day CPH - Three problems of Terraform
AWS Community Day CPH - Three problems of Terraform
 

Petri Net Modelling of Physical Vulnerability

  • 1. Petri Net Modelling of Physical Vulnerability F. Flammini, S. Marrone, N. Mazzocca, V. Vittorini Stefano Marrone Dept. of Mathematics Second University of Naples CRITIS 2011 September 8-9, 2011 Luzern, Switzerland
  • 2.
  • 3.
  • 4.
  • 5.
  • 6.
  • 7.
  • 8.
  • 9.
  • 10.
  • 11.
  • 12.
  • 13.
  • 14.
  • 15.