Decision support model for cybersecurity risk planning: a two-stage stochastic programming framework featuring firms, government, and attacker

DOI10.1016/J.EJOR.2020.09.013zbMath1487.90663OpenAlexW3088835138MaRDI QIDQ2029985

Minjiao Zhang, Jomon Aliyas Paul

Publication date: 4 June 2021

Published in: European Journal of Operational Research (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.ejor.2020.09.013

zbMATH Keywords

stochastic programmingdecision analysisexternalitycybersecuritysafeguardssocial costintelligence investment

Mathematics Subject Classification ID

Decision theory (91B06) Applications of mathematical programming (90C90) Stochastic programming (90C15) Theory of languages and software systems (knowledge-based systems, expert systems, etc.) for artificial intelligence (68T35)

Related Items (2)

Building up cyber resilience by better grasping cyber risk via a new algorithm for modelling heavy-tailed data ⋮ Structural models for fog computing based Internet of things architectures with insurance and risk management applications

Uses Software

• CPLEX

Cites Work

• Optimal selection of IT security safeguards from an existing knowledge base
• Supply chain efficiency and security: coordination for collaborative investment in technology
• A framework for secure IT operations in an uncertain and changing environment
• Multifirm models of cybersecurity investment competition vs. cooperation and network vulnerability
• Espionage and the optimal standard of the customs-trade partnership against terrorism (C-TPAT) program in maritime security
• Cybersecurity investments in the supply chain: coordination and a strategic attacker
• Optimal Allocation of Resources in Airport Security: Profiling vs. Screening

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