An intrusion-detection model based on fuzzy class-association-rule mining using genetic network programming

IEEE Transactions on Systems, Man and Cybernetics Part C: Applications and Reviews

Volumn 41, Issue 1, 2011, Pages 130-139

  Mabu, Shingo ^a   Chen, Ci ^a   Lu, Nannan ^a   Shimada, Kaoru ^a   Hirasawa, Kotaro ^a  

^a WASEDA UNIVERSITY   (Japan)

Author keywords

Class association rulemining; Evolutionary computation; Fuzzy membership function; Intrusion detection

Indexed keywords

COMPUTER SOFTWARE REUSABILITY; EVOLUTIONARY ALGORITHMS; GENETIC ALGORITHMS; GENETIC PROGRAMMING; GRAPHIC METHODS; REUSABILITY; TREES (MATHEMATICS);

CLASS-ASSOCIATION-RULEMINING; DIRECTED GRAPH STRUCTURES; EVOLUTIONARY OPTIMIZATION TECHNIQUES; FUZZY MEMBERSHIP FUNCTION; GENETIC NETWORK PROGRAMMING; INTRUSION DETECTION SYSTEMS; MACHINE LEARNING TECHNIQUES; MISUSE AND ANOMALY DETECTIONS;

INTRUSION DETECTION;

EID: 84900537680     PISSN: 10946977     EISSN: None     Source Type: Journal    
DOI: 10.1109/TSMCC.2010.2050685     Document Type: Article

References (33)

1. J. G.-P. A. El Semaray, J. Edmonds, and M. Papa, "Applying data mining of fuzzy association rules to network intrusion detection," presented at the IEEE Workshop Inf., United States Military Academy, West Point, NY, 2006.
2. A. S. S. Forrest, S. A. Hofmeyr, and T. A. Longstaff, "A sense of self for unix processes," presented at the IEEE Symp. Secur. Privacy, Los Alamitos, CA, 1996.
3. J. Luo, "Integrating fuzzy logic with data mining methods for intrusion detection," Master's thesis, Dept. Comput. Sci., Mississippi State Univ., Starkville, MS, 1999.
4. R. P. Lippmann, D. J. Fried, I. Graf, J. Haines, K. P. Kendall, D. McClung, D. Weber, S. Webster, D. Wyschogrod, R. K. Cunningham, and M. A. Ziss-man, "Evaluating intrusion detection systems: The 1998 DARPA offline intrusion detection evaluation," in Proc. DARPA Inf. Survivability Conf. Expo. vol. 2, Los Alamitos, CA: IEEE Comput. Soc. Press, 2000.
5. Kddcup 1999 data [Online]. Available: kdd.ics.uci.edu/databases/kddcup99/ kddcup99.html.
6. Darpa Intrusion Detection datasets [Online]. Available: www.ll.mit.edu/mission/communications/ist/corpora/ideval/data/index.html.
7. J. Zhang, M. Zulkernine, and A. Haque, "Random-forests-based network intrusion detection systems," IEEE Trans. Syst., Man, Cybern. C, Appl. Rev., vol. 38, no. 5, pp. 649-659, Sep. 2008.
8. Z. Yu, J. J. P. Tsai, and T. Weigert, "An automatically tuning intrusion detection system," IEEE Trans. Syst., Man, Cybern. B, Cybern., vol. 37, no. 2, pp. 373-384, Apr. 2006.
9. W. Hu, W. Hu, and S. Maybank, "Adaboost-based algorithm for network intrusion detection," IEEE Trans. Syst., Man, Cybern. B, Cybern., vol. 38, no. 2, pp. 577-583, Apr. 2008.
10. S.-J. Han and S.-B. Cho, "Evolutionary neural networks for anomaly detection based on the behavior of a program," IEEE Trans. Syst., Man, Cybern. B, Cybern., vol. 36, no. 3, pp. 559-570, Jun. 2006.
11. D. Parikh and T. Chen, "Data fusion and cost minimization for intrusion detection," IEEE Trans. Inf. Forensics Security, vol. 3, no. 3, pp. 381-389, Sep. 2008.
12. S. Manganaris, M. Christensen, D. Serkle, and K. Hermix, "A data mining analysis of rtid alarms," presented at the 2nd Int. Workshop Recent Adv. Intrusion Detect., West Lafayette, IN, 1999.
13. D. E. Denning, "An intrusion detection model," IEEE Trans. Softw. Eng., vol. SE-13, no. 2, pp. 222-232, Feb. 1987.
14. R. Agrawal and R. Srikant, "Fast algorithms for mining association rules," in Proc. 20th VLDB Conf., Santiago, Chile, 1994, pp. 487-499.
15. J. H. Holland, Adaptation in Natural and Artificial Systems. Ann Arbor, MI: Univ. Michigan Press, 1975.
16. D. E. Goldberg, Genetic Algorithm in Search, Optimization and Machine Learning. Reading, MA: Addison-Wesley, 1989.
17. J. R. Koza, Genetic Programming, on the Programming of Computers by Means of Natural Selection. Cambridge, MA: MIT Press, 1992.
18. J. R. Koza, Genetic Programming II, Automatic Discovery of Reusable Programs. Cambridge, MA: MIT Press, 1994.
19. A. A. Freitas, Data Mining and Knowledge Discovery with Evolutionary Algorithms. New York: Springer-Verlag, 2002.
20. M. Crosbie and G. Spafford, "Applying genetic programming to intrusion detection," presented at the AAAI Fall Symp. Series, AAAI Press, Menlo Park, CA, Tech. Rep. FS-95-01, 1995.
21. W. Lu and I. Traore, "Detecting new forms of network intrusion using genetic programming," Comput. Intell., vol. 20, no. 3, pp. 474-494, 2004.
22. S. Mabu, K. Hirasawa, and J. Hu, "A graph-based evolutionary algorithm: Genetic network programming (GNP) and its extension using reinforcement learning," Evol. Comput., vol. 15, no. 3, pp. 369-398, 2007.
23. T. Eguchi, K. Hirasawa, J. Hu, and N. Ota, "A study of evolutionary multiagent models based on symbiosis," IEEE Trans. Syst., Man, Cybern. B, Cybern., vol. 36, no. 1, pp. 179-193, Feb. 2006.
24. K. Hirasawa, T. Eguchi, J. Zhou, L. Yu, and S. Markon, "A doubledeck elevator group supervisory control system using genetic network programming," IEEE Trans. Syst., Man, Cybern. C, Appl. Rev., vol. 38, no. 4, pp. 535-550, Jul. 2008.
25. K. Hirasawa, M. Okubo, H. Katagiri, J. Hu, and J. Murata, "Comparison between genetic network programming (GNP) and genetic programming (GP)," in Proc. Congr. Evol. Comput., 2001, pp. 1276-1282.
26. K. Shimada, K. Hirasawa, and J. Hu, "Genetic network programming with acquisition mechanisms of association rules," J. Adv. Comput. Intell. Intell. Inf., vol. 10, no. 1, pp. 102-111, 2006.
27. C. C. Aggarwal and P. Yu, "Outliers detection for high dimensional data," in Proc. ACM SIGMOD Conf., 2001, pp. 37-46.
28. K. Shimada, K. Hirasawa, and J. Hu, "Class association rule mining with chi-squared test using genetic network programming," in Proc. IEEE Int. Conf. Syst., Man, Cybern., 2006, pp. 5338-5344.
29. W. Lee and S. J. Stolfo, "A framework for constructing features and models for intrusion detection systems," ACM Trans. Inf. Syst. Secur., vol. 3, no. 4, pp. 227-261, 2000.
30. Tcptrace Software Tool. [Online]. Available: www.tcptrace.org.
31. Z. Banković, D. Stepanović, S. Bojanić, and O. Nieto-Taladriz, "Improving network security using genetic algorithm approach," Comput. Elect. Eng., vol. 33, pp. 438-451, 2007.
32. K. Shimada, K. Hirasawa, and J. Hu, "Genetic network programming with class association rule acquisition mechanisms from incomplete databases," in Proc. SICE Annu. Conf., Kagawa, Japan, 2007, pp. 2708-2714.
33. K. Shimada, K. Hirasawa, and J. Hu, "Class association rule mining from incomplete database using genetic network programming," (in Japanese), IEEJ Trans. EIS, vol. 128, no. 5, pp. 795-803, 2008.