Anomaly based intrusion detection using meta ensemble classifier

Proceedings of the 5th International Conference on Security of Information and Networks, SIN'12

Volumn , Issue , 2012, Pages 143-147

  Boro, Debojit ^a   Nongpoh, Bernard ^a   Bhattacharyya, Dhruba K ^a  

^a TEZPUR UNIVERSITY   (India)

Author keywords

Bagging; Boosting; Combination rules; Ensemble; Intrusion detection; Stacking

Indexed keywords

BAGGING; BOOSTING; COMBINATION RULES; ENSEMBLE; STACKING;

BENCHMARKING; FREQUENCY HOPPING; LEARNING ALGORITHMS;

INTRUSION DETECTION;

EID: 84870326932     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2388576.2388596     Document Type: Conference Paper

References (23)

1. W. Hu, S. Maybank and W. Hu. AdaBoost-Based Algorithm for Network Intrusion Detection. IEEE Transactions on Systems, Man and Cybernetics, Part B: Cybernetics, 38(2): 577-583, April 2008.
2. P. Gogoi, B. Borah and D. K. Bhattacharyya. Anomaly Detection Analysis of Intrusion Data Using Supervised and Unsupervised Approach. JCIT, 5(1):95-110, February 2010.
3. L. Rokach. Ensemble-based classifiers. Artificial Intelligence Review, 33(1-2):1-39, February 2010.
4. R. Polikar. Ensemble Based Systems in Decision Making. IEEE Circuits and System Magazines, 6(3):21-45, 2006.
5. M. Govindarajan and R. M. Chandrasekaran. Bagged Genetic algorithm for Network Intrusion Detection. International Journal of Research and Reviews in Information Security and Privacy (IJRRISP), 1(2):2046- 5718, June 2011.
6. R. E. Schapire. The strength of weak learnability. Machine Learning, 5(2):197-227, June 1990.
7. Y. S. Chen and Y. M. Chen. Combining Incremental Hidden Markov Model and AdaBoost Algorithm for Anomaly Intrusion Detection. In CSI-KDD'99 Proceedings of the ACM SIGKDD Workshop on Cyber Security and Intelligence Informatics, pages 3-9, 2009.
8. D. H. Wolpert. Stacked generalization. Neural Networks, 5(2): 241-259, 1992.
9. A. Borji. Combining Heterogeneous Classifiers for Network Intrusion Detection. Lecture Notes in Computer Science, Springer, 4846:254-260, 2008.
10. KDD'99 archive: The Fifth International Conference on Knowledge Discovery and Data Mining. url:http://kdd.ics.uci.edu/databases/kddcup99/kddcup99.html.
11. S. Mukkamala, A. H. Sunga and A. Abraham. Intrusion detection using ensemble of intelligent paradigms. Journal of Network and computer applications, 28(2):167-182, April 2005.
12. J. Yan, X. Yun, P. Zhang, J. Tan and L. Guo. A New Weighted Ensemble Model for Detecting DoS Attack Streams. In IEEE/WIC/ACM Int'l Conf. on WI-IAT, pages 227-230, September 2010.
13. A. Zainal, M. A. Maarof and S. M. Shamsuddin. Ensemble Classifiers for Network Intrusion Detection System. Journal of Information Assurance and Security, 4:217-255, July 2009.
14. H. G. Kayacik, A. N. Z. Heywood and M.I. Heywood. Selecting Features for Intrusion Detection: A feature relevance analysis on KDD 99 Intrusion Detection Datasets. In The 3rd Annual Conference on Privacy, Security and Trust (PST), 2005.
15. N. Aruajo, R. D. Oliveira, E.W. Ferreira, A. A. Shinoda and B. Bhargava. Identifying Important Characteristics in the KDD99 Intrusion Detection Dataset by feature selection using Hybrid approach. In IEEE 17th Int'l Conf. on Telecommunications (ICT), pages 552-558, April 2010.
16. N. I. Ghali. Feature Selection for Effective Anomaly-Based Intrusion Detection. IJCSNS, 9(3):285-289, March 2009.
17. J. R. Quinlan. C4.5: Programs for machine learning. Morgan Kaufmann Publishers Inc., San Francisco, CA, USA, 1993.
18. L. I. Kuncheva, J. C. Bezdak and R. P. W. Duin. Decision templates for multiple classifier fusion: An experimental comparison. Pattern Recognition, 34(2):299-314, February 2001.
19. P. Gogoi, M. H. Bhuyan, D. K. Bhattacharyya and J. K. Kalita. Packet and Flow Based Network Intrusion Dataset. In the LNCS Proc of CCSEIT, pages 322-334, August 2012.
20. J. Quittek, T. Zseby, B. Claise and S. Zander. Requirements for IP flow information export (IPFIX). Network Working Group, RFC 3917, October 2004.
21. B. Claise. Cisco Systems NetFlow Services Export Ver. 9. Network Working Group, RFC 3954, October 2004.
22. P. Haag. User Documentation of nfdump and nfsen. url:http://www.first. org/conference/2006/papers/haag-peterpapers.pdf.
23. Attacks tools and information. url:http://themecraft.net/www/ packetstormsecurity.nl.