Network intrusion detection based on Neuro-Fuzzy classification

2006 International Conference on Computing and Informatics, ICOCI '06

Volumn , Issue , 2006, Pages

  Toosi, Adel Nadjaran ^a   Kahani, Mohsen ^a   Monsefi, Reza ^a  

^a FERDOWSI UNIVERSITY OF MASHHAD   (Iran)

Author keywords

ANFIS; Computer network security; Intrusion detection; KDD dataset; Neuro Fuzzy classifier

Indexed keywords

ADAPTATION AND LEARNING; ADAPTIVE NEURO-FUZZY INFERENCE SYSTEM; CONSTRUCT MODELS; DATA SETS; INTRUSION DETECTION SYSTEMS; KDD DATASET; MULTI-CLASSIFIER; NETWORK INTRUSION DETECTION; NEURAL FUZZY; NEURO FUZZY CLASSIFICATION; NEURO-FUZZY CLASSIFIERS; RAPID GROWTH; SAMPLE DATA; TARGET SYSTEMS;

CLASSIFIERS; COMPUTER CRIME; COMPUTER SCIENCE; FUZZY INFERENCE; FUZZY SYSTEMS; INTERNET; INTRUSION DETECTION; LEARNING SYSTEMS;

NETWORK SECURITY;

EID: 71249154913     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICOCI.2006.5276608     Document Type: Conference Paper

References (17)

1. D. Song, M.I. Heywood, A.N. Zincir-Heywood, "Training Genetic Programming on Half a Million Patterns: An Example from Anomaly Detection," IEEE Transactions on Evolutionary Computation, 2005.
2. J. Gomez, D. Dasgupta, "Evolving Fuzzy Classifiers for Intrusion Detection," Proceeding Of 2002 IEEE Workshop on Information Assurance, United States Military Academy, West Point NY, June 2001.
3. S. Chavan, K. Shah, N. Dave, S. Mukherjee, A. Abraham and S. Sanyal, "Adaptive Neuro-Fuzzy Intrusion Detection System," IEEE International Conference on Information Technology: Coding and Computing (ITCC' 04), USA, IEEE Computer Society, Vol. 1, pp. 70-74, 2004.
4. Z. Zhang, J. Li, C. Manikopoulos, J. Jorgenson and J. Ucles, "HIDE: a Hierarchical Network Intrusion Detection System Using Statistical Preprocessing and Neural Network Classification," Proceedings of the 2nd Annual IEEE Systems, Mans, Cybernetics Information Assurance Workshop, West Point, NY, 2001.
5. M. S. Abade, J. Habibi, C. Lucas, "Intrusion detection using a fuzzy genetics-based learning algorithm," Journal of Network and Computer Applications, August 2005.
6. J. E. Dickerson, J. E. Dickerson, "Fuzzy network profiling for intrusion detection," Proceedings of NAFIPS 19th International Conference of the North American Fuzzy Information Processing Society, pp. 301-306, Atlanta, USA, July 2000.
7. M. Gao, M. C. Zhou, "Fuzzy intrusion detection based on fuzzy reasoning Petri nets," Proceeding of the 2003 IEEE International Conference on Systems, Man and Cybernetics, 5-8, pp. 1272-1277, Washington D. C., Oct. 2003.
8. J.-S. R. Jang, "ANFIS: Adaptive-Network-based Fuzzy Inference Systems," IEEE Transactions on Systems, Man, and Cybernetics, Vol. 23, No. 3, pp. 665-685, May 1993.
9. D. Nauck, R. Kruse, "NEFCLASS - A Neuro-Fuzzy approach for the classification of data," presented at the Symposium on applied Computing, Nashville, USA, 1995.
10. H. Ishibuchi, T. Nakashima, T. Murata, "A fuzzy classifier system that generates fuzzy if-then rules for pattern classification problems," Proceedings of second IEEE international conference on evolutionary computation, Perth, Australia, November, pp. 759-64, 1995.
11. J. Liu, J. Kwok, "An extended genetic rule induction algorithm," Proceedings of the Congress on Evolutionary Computation Conference, 2000.
12. DARPA Intrusion Detection Evaluation: http://www.ll.mit.edu/SSt/ ideval/result/result-index.html.
13. KDD Cup 1999 Intrusion detection dataset: http://kdd.ics.uci.edu/ databases/kddcup99/kddcup99.html.
14. S. Chiu, "Fuzzy Model Identification Based on Cluster Estimation," Journal of Intelligent & Fuzzy Systems, Vol. 2, No. 3, September. 1994.
15. R. Yager, D. Filev, "Generation of Fuzzy Rules by Mountain Clustering," Journal of Intelligent & Fuzzy Systems, Vol. 2, No. 3, pp. 209-219, 1994.
16. W. Fan, M. Miller, SJ. Stolfo, Chan PK. "Using artificial anomalies to detect unknown and know network intrusions," Proceedings of the first IEEE international conference on data mining, 2001.
17. K. Yamanishi, J. Takeuchi, G. Williams, "On-line unsupervised outlier detection using finite mixtures with discounting learning algorithms", Proceedings of the Sixth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp. 320-324, 2000. 5276609