11 July 2009 Organizational coevolutionary classifiers with fuzzy logic used in intrusion detection
Author Affiliations +
Proceedings Volume 7490, PIAGENG 2009: Intelligent Information, Control, and Communication Technology for Agricultural Engineering; 74902B (2009); doi: 10.1117/12.836664
Event: International Conference on Photonics and Image in Agriculture Engineering (PIAGENG 2009), 2009, Zhangjiajie, China
Abstract
Intrusion detection is an important technique in the defense-in-depth network security framework and a hot topic in computer security in recent years. To solve the intrusion detection question, we introduce the fuzzy logic into Organization CoEvolutionary algorithm [1] and present the algorithm of Organization CoEvolutionary Classification with Fuzzy Logic. In this paper, we give an intrusion detection models based on Organization CoEvolutionary Classification with Fuzzy Logic. After illustrating our model with a representative dataset and applying it to the real-world network datasets KDD Cup 1999. The experimental result shown that the intrusion detection based on Organizational Coevolutionary Classifiers with Fuzzy Logic can give higher recognition accuracy than the general method.
© (2009) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Zhenguo Chen, "Organizational coevolutionary classifiers with fuzzy logic used in intrusion detection", Proc. SPIE 7490, PIAGENG 2009: Intelligent Information, Control, and Communication Technology for Agricultural Engineering, 74902B (11 July 2009); doi: 10.1117/12.836664; https://doi.org/10.1117/12.836664
PROCEEDINGS
8 PAGES


SHARE
KEYWORDS
Fuzzy logic

Computer intrusion detection

Detection and tracking algorithms

Genetic algorithms

Evolutionary algorithms

Computer simulations

Computing systems

Back to Top