Quantum evolutionary algorithm based network intrusion detection

Author

Yin, Xiangdong

Author_Institution

Dept. of Comput. Sci., Hunan Univ. of Sci. & Eng., Yongzhou, China

Volume

4

fYear

2010

fDate

9-11 July 2010

Firstpage

683

Lastpage

685

Abstract

This Quantum evolutionary algorithm is a newly developed method of probability optimization based on principles of quantum computing. Regarding complex optimization problems, quantum evolutionary algorithm has a strong search capability and the most optimal performance. Network intrusion detection problem can be converted into the one of data optimal classification, thus this paper introduces the quantum evolutionary algorithm to achieve the whole optimization process. The comparison simulation experiments have been carried out and the experimental results show the feasibility and effectiveness of methods proposed by this paper.

Keywords

computer network security; evolutionary computation; pattern classification; quantum computing; security of data; complex optimization; data optimal classification; network intrusion detection; optimal performance; probability optimization; quantum computing; quantum evolutionary algorithm; search capability; Classification algorithms; Electronic mail; Positron emission tomography; evolutionary algorithm; intrusion detection; network; network intrusion detection; quantum evolutionary algorithm;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer Science and Information Technology (ICCSIT), 2010 3rd IEEE International Conference on

Conference_Location

Chengdu

Print_ISBN

978-1-4244-5537-9

Type

conf

DOI

10.1109/ICCSIT.2010.5564538

Filename

5564538