Title :
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
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;
Conference_Titel :
Industrial Mechatronics and Automation, 2009. ICIMA 2009. International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4244-3817-4
DOI :
10.1109/ICIMA.2009.5156550
