Risk assessment is often done by human experts, becausethere is no exact and mathematical solution to the problem.Usually the human reasoning and perception process cannotbe expressed precisely. This paper propose a geneticprogramming approach for risk assessment. Preliminaryresults indicate that genetic programming methods are robustand suitable for this problem when compared to otherrisk assessment models.
['Ajith Abraham', 'Crina Grosan', 'Vaclav Snasel']
Programming Risk Assessment Models for Online Security Evaluation Systems