Intrusion detection based on clustering genetic algorithm

2005 International Conference on Machine Learning and Cybernetics, ICMLC 2005

Volumn , Issue , 2005, Pages 3911-3914

  Zhao, Jiu Ling ^a   Zhao, Jiu Fen ^a   Li, Jian Jun ^a  

^a ROCKET FORCE UNIVERSITY OF ENGINEERING   (China)

Author keywords

Clustering Analysis; Genetic Algorithm; Intrusion Detection

Indexed keywords

COMPUTER NETWORKS; MATHEMATICAL MODELS; OPTIMIZATION;

CLUSTERING ANALYSIS; INTRUSION DETECTION;

GENETIC ALGORITHMS;

EID: 28444477388     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (5)

1. M.M. Pillai, An approach to implement a network intrusion detection system using genetic algorithms, 2004 ACM International Conference Proceeding Series, 221-221.
2. LI Xiang-yang, A Classification Method for Web Information Extraction, Wuhan University Journal of Natural Sciences. Vol.9 No.5 2004 823-827.
3. Portnoy, L., Eskin, E., Stolfo, S. J. Intrusion detection with unlabeled data using clustering. In: Barbara, D ed. Proceedings of ACM CSS Workshop on Data Mining Applied to Security. Philadelphia: ACM Press, 2001.
4. Maulik, U., Bandyopadhyay, S. Genetic algorithm-based clustering technique. Pattern Recognition, 2000, 33 (9): 1455 - 1465.
5. Eskin, E. Ailomaly detection over noisy data using learned probability distributions [A]. In: Langley, P ed. Proceedings of the international Conference on Machine Learning [C]. CA: Morgan Kaufmann, 2000.