Abstract
The research is focused on the relationship between aviation systems and extreme terrorist events, the impacts of such events, and
the solutions to manage the associated risks on medium and long term. The development of predictive models for extremeasymmetric
events in aviation (EAEA) still represents an emerging direction of interdisciplinary research because not all
mechanisms and interactions are understood. The testing of models is difficult due to lack of data and interpretation frameworks
and includes a major human component specific to social sciences. The proposed risk assessment model is based on a simulation
algorithm, and relies on a spreadsheet program that models the risk in conjunction with input data: threat, vulnerability and
consequences. The main advantage of the model is that it provides a fast and intuitive image of the phenomenon, using
unsophisticated databases. In addition, the case study developed by the authors of the article and focused on modeling and
simulating terrorist risk in a Romanian international airport answers decision makers’ current requirement to operate a flexible,
adaptable and scalable platform efficiently and rapidly.