The information security risk assessment model based on GA - BP

In the research of information security information security issues, many factors can cause the system to insecurity. In order to improve the accuracy of the risk assessment of information security, information security risk assessment model based on GA (genetic algorithm) and BP neural network is p...

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Bibliographic Details
Published in2016 7th IEEE International Conference on Software Engineering and Service Science (ICSESS) pp. 119 - 122
Main Authors Yongqiang Song, Yongjun Shen, Guidong Zhang, Yuming Hu
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.08.2016
Subjects
Computer hacking
GA-BP
Information security
Maintenance engineering
optimization
Predictive models
risk assessment
Risk management
Safety management
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Summary:In the research of information security information security issues, many factors can cause the system to insecurity. In order to improve the accuracy of the risk assessment of information security, information security risk assessment model based on GA (genetic algorithm) and BP neural network is proposed. Using genetic algorithm to optimize the weights and thresholds of BP neural network to establish an information security risk assessment model, and using MATLAB to simulate, predict the value of risk. The simulation results show that GA-BP, compared with the standard BP neural network, with lower simulation error and better fitting effect, is a good information security risk assessment model.
ISSN:2327-0594
DOI:10.1109/ICSESS.2016.7883029