An Intrusion Detection System based on multiple level hybrid classifier using enhanced C4.5

Proceedings of ICSCN 2008 - International Conference on Signal Processing Communications and Networking

Volumn , Issue , 2008, Pages 75-79

  Rajeswari, L Prema ^a   Kannan, A ^a  

^a ANNA UNIVERSITY   (India)

Author keywords

[No Author keywords available]

Indexed keywords

ATTACK SCENARIOS; DATA SETS; DETECTION RATES; FALSE ALARM RATE; HYBRID CLASSIFIERS; INFORMATION SYSTEM SECURITY; INTERNATIONAL CONFERENCES; INTRUSION DETECTION SYSTEM; LABELED TRAINING DATA; MIXED DATA; TREE CLASSIFIERS; VERIFICATION TESTING;

ALARM SYSTEMS; CLASSIFICATION (OF INFORMATION); CLASSIFIERS; CLUSTERING ALGORITHMS; COMPUTER CRIME; DECISION SUPPORT SYSTEMS; HEURISTIC ALGORITHMS; HEURISTIC PROGRAMMING; INFORMATION MANAGEMENT; INFORMATION SCIENCE; LEARNING SYSTEMS; SEARCH ENGINES; SENSORS; SIGNAL DETECTION; SIGNAL PROCESSING; STATISTICAL TESTS;

INTRUSION DETECTION;

EID: 48149103562     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICSCN.2008.4447164     Document Type: Conference Paper

References (11)

1. Zhi-xin Yu, Jing-Ran Chen and Tian-Qing Zhu, "A Novel AdaptiveIntrusion Detection System Based on Data Mining", In proceedings of the fourth international Conference on Machine learning and Cybernetics, Guangzhou, pp. 2390-2395, August 2005.
2. Stefan Axelsson, "Intrusion Detection Systems: A Survey and Taxonomy", Technical Report No 9, Department of Computer Engineering, Chalmers, University of Technology, Sweden, pp. 9-15, 2000.
3. Denning D E, "An Intrusion Detection Model",. IEEE Transactions on Software Engineering, Vol. 51, No. 8, pp. 12-26, August 2003.
4. Denning.D.E., Neumann.P.G, "Requirements and Model for IDES-A Real-Time Intrusion Detection System", Technical Report, Computer Science Laboratory, SRI International, Menlo Park, California, pp.58-63, May 1985.
5. J. R. Quinlan, "C4.5: Programs for Machine Learning", Morgan Kauffman, 1993.
6. Teresa L, Ann T and Fred G, "A Real-Time Intrusion Detection Expert System(IDES)" Technical Report, Computer Science Laboratory, SRI International, Menlo Park, California, pp. 158-163, December 1992.
7. Denning D E, "An Intrusion-Detection Model", IEEE Transaction on Software Engineering, Vol. 13, No. 3, pp. 222-232, April 2000.
8. W. Lee and S. J. Stolfo, "A Framework for Constructing Features and Models for Intrusion Detection Systems," ACM Transactions on Information and System Security, Vol. 3, No. 4, pp. 227-261, November 2000.
9. C.Xiang, M.Y.Chong and H.L.Zhu, "Design of Multiple-Level Tree Classifier for Intrusion Detection System", In Proceedings of 2004 IEEE Conference on Cybernetics and Intelligent Systems, Singapore, pp.872-877, December 2004
10. KDD Cup 1999 Data, Information and Computer Science, UniversityofCalifornia, Irvine. http://kdd.ics.uci.edu/databases/kddcup99/ kddcup99.html
11. Lippmann R.P., Fried D.J., Graf I., Haines J.W., Kendall K.R., McClung D., Weber D., Webster S.E., Wyschogrod D., Cunningham R.K., and Zissman M.A.,"Evaluating Intrusion Detection Systems: The 1998 DARPA Off-Line Intrusion Detection Evaluation", in Proceedings of the 2000 DARPA Information Survivability Conference and Exposition (DISCEX), Vol. 2, IEEE Computer Society Press: Los Alamitos, C A, pp. 12-26 May 2000.