Fuzzy weighted averages and implementation of the extension principle
Fuzzy Sets and Systems
Modern heuristic techniques for combinatorial problems
Modern heuristic techniques for combinatorial problems
Fuzzy sets as a basis for a theory of possibility
Fuzzy Sets and Systems
Evolutionary computation
Centroid of a type-2 fuzzy set
Information Sciences: an International Journal
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
Managing Information Security Risks: The Octave Approach
Managing Information Security Risks: The Octave Approach
The Executive Guide to Information Security: Threats, Challenges, and Solutions
The Executive Guide to Information Security: Threats, Challenges, and Solutions
A fuzzy decision support system for strategic portfolio management
Decision Support Systems
Fuzzy decision support system for risk analysis in e-commerce development
Decision Support Systems
A fuzzy decision support system for IT service continuity threat assessment
Decision Support Systems
Using CP-nets as a guide for countermeasure selection
Proceedings of the 2007 ACM symposium on Applied computing
Is Information Security Under Control?: Investigating Quality in Information Security Management
IEEE Security and Privacy
Necessary measures: metric-driven information security risk assessment and decision making
Communications of the ACM
Quantitative risk-based analysis for military counterterrorism systems
Systems Engineering
IAS '07 Proceedings of the Third International Symposium on Information Assurance and Security
Selection of appropriate defuzzification methods using application specific properties
IEEE Transactions on Fuzzy Systems
Fuzzy decision support system for ship lock control
Expert Systems with Applications: An International Journal
Selection of optimal countermeasure portfolio in IT security planning
Decision Support Systems
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Security countermeasures help ensure the confidentiality, availability, and integrity of information systems by preventing or mitigating asset losses from Cybersecurity attacks. Due to uncertainty, the financial impact of threats attacking assets is often difficult to measure quantitatively, and thus it is difficult to prescribe which countermeasures to employ. In this research, we describe a decision support system for calculating the uncertain risk faced by an organization under cyber attack as a function of uncertain threat rates, countermeasure costs, and impacts on its assets. The system uses a genetic algorithm to search for the best combination of countermeasures, allowing the user to determine the preferred tradeoff between the cost of the portfolio and resulting risk. Data collected from manufacturing firms provide an example of results under realistic input conditions.