On the combination of naive Bayes and decision trees for intrusion detection

Proceedings - International Conference on Computational Intelligence for Modelling, Control and Automation, CIMCA 2005 and International Conference on Intelligent Agents, Web Technologies and Internet

Volumn 1, Issue , 2005, Pages 211-216

  Benferhat, Salem ^a   Tabia, Karim ^b  

^a UNIVERSITÉ D'ARTOIS   (France)

^b UNIVERSITÉ MOULOUD MAMMERI   (Algeria)

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFICATION (OF INFORMATION); DECISION THEORY; INTELLIGENT AGENTS; PROBLEM SOLVING;

DECISION TREES; INTRUSION DETECTION PROBLEMS; NAIVE BAYES;

TREES (MATHEMATICS);

EID: 33847218306     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (12)

1. N. Ben Amor, S. Benferhat, and Z. Elouedi. Naive bayesian networks in intrusion detection systems. In Probabilistic Graphical Models for Classification, pages 11-23, Cavtat Dubrovnik, Croatia, 2003.
2. N. Ben Amor, S. Benferhat, and Z. Elouedi. Naive bayes vs decision trees in intrusion detection systems. In ACM symposium on Applied computing (SAC2004), pages 420-424, Nicosia, Cyprus, 2004.
3. S. Axelsson. Intrusion detection systems: a survey and taxonomy. Technical report 99-15, 2000.
4. F. V. Jensen. Introduction to Bayesien networks. UCL Press, University college, London, 1996.
5. KDD. http://kdd.ccs.uci.edu/databases/kddcup99.1999.
6. K. Kendall. A Database of Computer Attacks for the Evaluation of Intrusion Detection Systems. Massachusetts Institute of Technology, Master Thesis, 1999.
7. J. Pearl. Probabilistic reasoning in intelligent systems: networks of plausible inference. Morgan Kaufmman, San Francisco (California), 1988.
8. J. R. Quinlan. Decision trees as probabilistic classifiers. In Proceedings of the Fourth International Workshop on Machine Learning, pages 31-37. Morgan Kaufmann, 1987.
9. J. R. Quinlan. C4.5: Programs for machine learning. Morgan Kaufmann, San Mateo, California, 1993.
10. M. Sabhnani and G. Serpen. Why machine learning algorithms fail in misuse detection on kdd intrusion detection data set. Journal of Intelligent Data Analy-sis, 2004.
11. A. Valdes and K. Skinner. Adaptive model-based monitoring for cyber attack detection. In Actes du Recent Advances in Intrusion Detection (RAID 2000), pages 80-92, Toulouse, France, 2000.
12. L. Xu, A. Kryzak, and C. V. Suen. Methods of combining multiple classifiers and their applications to handwriting recognition. In IEEE Transactions on Systems, Man and Cybernetics, volume 22(3), 418-435, 1992.