Cyber Defense: Mathematical Modeling and Simulation

Mathematical modeling, analysis and simulation of Ebola epidemics

‎Mathematical models are the most important tools in epidemiology to understand previous outbreaks of diseases and to better understand the dynamics of how infections spread through populations‎. ‎Many existing models closely approximate historical disease patterns‎. ‎This article investigates the mathematical model of the deadly disease with severe and uncontrollable bleeding‎, ‎Ebola which is...

Modeling And Simulation Of Cooperation And Learning In Cyber Security Defense Teams

Cyber security analysts may be organized in teams to share skills and support each other upon the occurrence of cyber attacks. Team work is expected to enforce the mitigation capability against unpredictable attacks addressed against a set of cyber assets requiring protection. A conceptual model for evaluating the expected performances of cooperating analysts by reproducing their learning proce...

Adversary Modeling and Simulation in Cyber Warfare

Modeling and simulation provide many excellent benefits in preparation for successful cyber operations. Whether used for creating realistic training environments, testing new cyber warfare techniques, or predicting possible adversary actions, it is critical for such simulations to take into account the possibility of an active cyber adversary, able to adapt its plans to network conditions. With...

Mathematical Modeling and Simulation Environment

MathModelica is an integrated interactive development environment for advanced object-oriented system modeling and simulation. The environment integrates Modelica-based modeling and simulation with graphic design, advanced scripting facilities, integration of program code, test cases, graphics, documentation, mathematical typesetting, and symbolic formula manipulation provided via Mathematica. ...

Agent-based Defense Modeling and Simulation