Misuse Intrusion Detection Using a Fuzzy-Metaheuristic Approach

Author

Mohamadi, H. ; Habibi, J. ; Abadeh, M. Saniee

Author_Institution

Dept. of Comput. Eng., Sharif Univ. of Technol., Tehran

fYear

2008

Firstpage

439

Lastpage

444

Abstract

In this paper, we use simulated annealing heuristics for constructing an intrusion detection system (IDS). The proposed IDS combines the learning ability of simulated annealing heuristics with the approximate reasoning method of fuzzy systems. The use of simulated annealing is an effort to effectively explore the large search space related to intrusion detection problems, and find the optimum set of fuzzy if-then rules. The aim of this paper is to present the capability of simulated annealing based fuzzy system to deal with intrusion detection classification problem as a new real-world application area. Experiments were performed with KDD-Cup99 intrusion detection benchmark data set.

Keywords

fuzzy reasoning; fuzzy set theory; learning (artificial intelligence); pattern classification; search problems; security of data; simulated annealing; approximate reasoning method; fuzzy system; fuzzy-metaheuristic approach; intrusion detection system; large search space; pattern classification; simulated annealing heuristic; Application software; Computational modeling; Computer networks; Computer simulation; Data mining; Fuzzy sets; Fuzzy systems; Humans; Intrusion detection; Simulated annealing;

fLanguage

English

Publisher

ieee

Conference_Titel

Modeling & Simulation, 2008. AICMS 08. Second Asia International Conference on

Conference_Location

Kuala Lumpur

Print_ISBN

978-0-7695-3136-6

Electronic_ISBN

978-0-7695-3136-6

Type

conf

DOI

10.1109/AMS.2008.128

Filename

4530516