Using Ant Colony Optimization to modeling the network vulnerability detection and restoration system

Author

Xie Hui ; Wu Min ; Zhang Zhi-ming

Author_Institution

Coll. of Electron. Eng., Naval Univ. of Eng., Wuhan, China

fYear

2009

fDate

15-16 May 2009

Firstpage

21

Lastpage

23

Abstract

The technology of artificial intelligence breaks a new way in the area of network security. Applying the idea of ant colony optimization into network vulnerability detection and restoration system can improve the performance of network security management. Based on the research of ant colony optimization algorithm, a novel model of multi mobile agent vulnerability detection and restoration system (MAVDRS), which the restoration mechanism adopts ACO is proposed. The results showed that the model can ensure Intranet´s security and has a lower delay and higher network bandwidth utilization.

Keywords

intranets; mobile agents; optimisation; security of data; Intranet security; ant colony optimization; artificial intelligence; high network bandwidth utilization; multimobile agent vulnerability detection and restoration system; network security management; Ant colony optimization; Automation; Bandwidth; Computer network management; Electronics industry; Feedback; Industrial training; Management training; Mechatronics; Mobile agents; ACO; Network Security Management; mobile agent; restoration mechanism;

fLanguage

English

Publisher

ieee

Conference_Titel

Industrial Mechatronics and Automation, 2009. ICIMA 2009. International Conference on

Conference_Location

Chengdu

Print_ISBN

978-1-4244-3817-4

Type

conf

DOI

10.1109/ICIMA.2009.5156550

Filename

5156550