Title :
Application research in computer network security evaluation based on genetic algorithm
Author :
Liu, Shaokun ; Fang, Yi
Author_Institution :
Dept. of Comput. Technol., Hebei Coll. of Ind. & Technol., Shijiazhuang, China
Abstract :
Network security is a complex systematic project. The existing safety assessment methods have some shortcomings such as feasibility, smaller application scope, man-made interference and so on. The simulation results show that, using the established evaluation model for network security evaluation is simple, eliminate the interference of human factors, and can quickly get the correct results of the evaluation. This article provides new ideas and methods to work for a comprehensive evaluation of computer network security situation, especially with a certain reference value to predict and control of network security issues in the future.
Keywords :
computer network performance evaluation; computer network security; genetic algorithms; computer network security evaluation; genetic algorithm; network security issues; safety assessment methods; Biological cells; Computational modeling; Genetic algorithms; Safety; Security; Sociology; Statistics; Computer Network; Genetic Algorithm; Security Evaluation;
Conference_Titel :
Instrumentation & Measurement, Sensor Network and Automation (IMSNA), 2012 International Symposium on
Conference_Location :
Sanya
Print_ISBN :
978-1-4673-2465-6
DOI :
10.1109/MSNA.2012.6324623