Presents various challenges faced by security policy makers and risk analysts, and mathematical approaches that inform homeland security policy development and decision support Compiled by a group of highly qualified editors, this book provides a clear connection between risk science and homeland security policy making and includes top-notch contributions that uniquely highlight the role of risk analysis for informing homeland security policy decisions. Featuring discussions on various challenges faced in homeland security risk analysis, the book seamlessly divides the subject of risk analysis for homeland security into manageable chapters, which are organized by the concept of risk-informed decisions, methodology for applying risk analysis, and relevant examples and case studies. Applied Risk Analysis for Guiding Homeland Security Policy and Decisions offers an enlightening overview of risk analysis methods for homeland security. For instance, it presents readers with an exploration of radiological and nuclear risk assessment, along with analysis of uncertainties in radiological and nuclear pathways. It covers the advances in risk analysis for border security, as well as for cyber security. Other topics covered include: strengthening points of entry; systems modeling for rapid containment and casualty mitigation; and disaster preparedness and critical infrastructure resilience. Highlights how risk analysis helps in the decision-making process for homeland security policy Presents specific examples that detail how various risk analysis methods provide decision support for homeland security policy makers and risk analysts Describes numerous case studies from academic, government, and industrial perspectives that apply risk analysis methods for addressing challenges within the U.S. Department of Homeland Security (DHS) Offers detailed information regarding each of the five DHS missions: prevent terrorism and enhance security; secure and manage our borders; enforce and administer our immigration laws; safeguard and secure cyberspace; and strengthen national preparedness and resilience Discusses the various approaches and challenges faced in homeland risk analysis and identifies improvements and methodological advances that influenced DHS to adopt an increasingly risk-informed basis for decision-making Written by top educators and professionals who clearly illustrate the link between risk science and homeland security policy making Applied Risk Analysis for Guiding Homeland Security Policy and Decisions is an excellent textbook and/or supplement for upper-undergraduate and graduate-level courses related to homeland security risk analysis. It will also be an extremely beneficial resource and reference for homeland security policy analysts, risk analysts, and policymakers from private and public sectors, as well as researchers, academics, and practitioners who utilize security risk analysis methods.

Presents various challenges faced by security policy makers and risk analysts, and mathematical approaches that inform homeland security policy development and decision supportCompiled by a group of highly qualified editors, this book provides a clear connection between risk science and homeland security policy making and includes top-notch contributions that uniquely highlight the role of risk analysis for informing homeland security policy decisions. Featuring discussions on various challenges faced in homeland security risk analysis, the book seamlessly divides the subject of risk analysis for homeland security into manageable chapters, which are organized by the concept of risk-informed decisions, methodology for applying risk analysis, and relevant examples and case studies.Applied Risk Analysis for Guiding Homeland Security Policy and Decisions offers an enlightening overview of risk analysis methods for homeland security. For instance, it presents readers with an exploration of radiological and nuclear risk assessment, along with analysis of uncertainties in radiological and nuclear pathways. It covers the advances in risk analysis for border security, as well as for cyber security. Other topics covered include: strengthening points of entry; systems modeling for rapid containment and casualty mitigation; and disaster preparedness and critical infrastructure resilience.* Highlights how risk analysis helps in the decision-making process for homeland security policy* Presents specific examples that detail how various risk analysis methods provide decision support for homeland security policy makers and risk analysts* Describes numerous case studies from academic, government, and industrial perspectives that apply risk analysis methods for addressing challenges within the U.S. Department of Homeland Security (DHS)* Offers detailed information regarding each of the five DHS missions: prevent terrorism and enhance security; secure and manage our borders; enforce and administer our immigration laws; safeguard and secure cyberspace; and strengthen national preparedness and resilience* Discusses the various approaches and challenges faced in homeland risk analysis and identifies improvements and methodological advances that influenced DHS to adopt an increasingly risk-informed basis for decision-making* Written by top educators and professionals who clearly illustrate the link between risk science and homeland security policy makingApplied Risk Analysis for Guiding Homeland Security Policy and Decisions is an excellent textbook and/or supplement for upper-undergraduate and graduate-level courses related to homeland security risk analysis. It will also be an extremely beneficial resource and reference for homeland security policy analysts, risk analysts, and policymakers from private and public sectors, as well as researchers, academics, and practitioners who utilize security risk analysis methods.

About the EditorsContributorsPreface and IntroductionI. Managing National Security Risk and Policy Programs 101. On the "Influence of Scenarios to Priorities" in Risk and Security Programs 10Heimir Thorisson, James H. Lambert2. Survey of Risk Analytic Guidelines Across the Government 25Isaac Maya, Lily Doyle, Amelia Liu, Francine Tran, Robert Creighton, Charles Woo3. An Overview of Risk Modeling Methods and Approaches for National Security 59Samrat Chatterjee, Robert T. Brigantic, Angela M. Waterworth4. Comparative Risk Rankings in Support of Homeland Security Strategic Plans 80Russell Lundberg5. A Data Science Workflow for Discovering Spatial Patterns Among Terrorist Attacks and Infrastructure 97Daniel Fortin, Thomas Johansen, Samrat Chatterjee, George Muller, Christine NoonanII. Strengthening Ports of Entry 1176. Effects of Credibility of Retaliation Threats in Deterring Smuggling of Nuclear Weapons 117Xiaojun Shan, Jun Zhuang7. Disutility of Mass Relocation After a Severe Nuclear Accident 129Vicki M. Bier, Shuji Liu8. Scheduling Federal Air Marshals Under Uncertainty 153Keith W. DeGregory, Rajesh GanesanIII. Securing Critical Cyber Assets 1719. Decision Theory for Network Security: Active Sensing for Detection and Prevention of Data Exfiltration 171Sara M. McCarthy, Arunesh Sinha, Milind Tambe, Pratyusa Manadhatha10. Measurement of Cyber Resilience from an Economic Perspective 193Adam Z. Rose, Noah Miller11. Responses to Cyber Near-misses: A Scale to Measure Individual Differences 210Jinshu Cui, Heather Rosoff, Richard S. JohnIV. Enhancing Disaster Preparedness and Infrastructure Resilience 22512. An Interactive Web-Based Decision Support System for Mass Dispensing, Emergency Preparedness, and Biosurveillance 225Eva K. Lee, Ferdinand H. Pietz, Chien-Hung Chen, Yifan Liu13. Critical Infrastructure Risk Assessments: Measuring Critical Infrastructure Protection and Resilience in an All-Hazards Environment 243Julia Phillips, Frédéric Petit14. Risk Analysis Methods in Resilience Modeling: An Overview of Critical Infrastructure Applications 269Hiba Baroud5. Optimal Resource Allocation Model to Prevent, Prepare, and Respond to Multiple Disruptions, with Application to the Deepwater Horizon Oil Spill and Hurricane Katrina 284Cameron A. MacKenzie, Amro Al-Kazimi16. Inoperability Input-Output Modeling of Electric Power Disruptions 300Joost R. Santos, Sheree Ann Pagsuyoin, Christian Yip17. Quantitative Assessment of Transportation Network Vulnerability with Dynamic Traffic Simulation Methods 314Venkateswaran Shekar, Lance Fiondella18. Infrastructure Monitoring for Health and Security 327Prodyot K. Basu19. Exploring Metaheuristic Approaches for Solving the Traveling Salesman Problem Applied to Emergency Planning and Response 346Ramakrishna Tipireddy, Javier Rubio-Herrero, Samrat Chatterjee, Satish Chikkagoudar, George Muller