DocumentCode :
3084928
Title :
Programming Risk Assessment Models for Online Security Evaluation Systems
Author :
Abraham, Ajith ; Grosan, Crina ; Snasel, Vaclav
Author_Institution :
MIR Labs.
fYear :
2009
fDate :
25-27 March 2009
Firstpage :
41
Lastpage :
46
Abstract :
Risk assessment is often done by human experts, because there is no exact and mathematical solution to the problem.Usually the human reasoning and perception process cannot be expressed precisely. This paper propose a genetic programming approach for risk assessment. Preliminary results indicate that genetic programming methods are robust and suitable for this problem when compared to other risk assessment models.
Keywords :
genetic algorithms; risk management; security of data; genetic programming methods; human reasoning; online security evaluation systems; perception process; programming risk assessment models; Biological cells; Costs; Frequency; Fuzzy logic; Genetic programming; Humans; Mathematical model; Risk analysis; Risk management; Security; fuzzy logic; genetic programming; machine intelligence; risk assessment;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Modelling and Simulation, 2009. UKSIM '09. 11th International Conference on
Conference_Location :
Cambridge
Print_ISBN :
978-1-4244-3771-9
Electronic_ISBN :
978-0-7695-3593-7
Type :
conf
DOI :
10.1109/UKSIM.2009.75
Filename :
4809735
Link To Document :
بازگشت