Immune Algorithm Optimization of Membership Functions for Mining Association Rules

  • Hongwei Mo
  • Xiquan Zuo
  • Lifang Xu
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4222)


In the paper, immune algorithm(IA) is proposed for optimizing membership function of fuzzy variables for mining associate rules. It is used in network detection to testify its efficiency in such mining task, including maximizing the similarity between normal association rule sets while minimizing the similarity between a normal and an abnormal association rule set. Experiment results show that IA-optimization based fuzzy logic system can improve the performance of mining associate rules in network intrusion.


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  1. 1.
    Agrawal, R., Srikant, R.: Fast Algorithms for Mining Association Rules. In: Proceedings of the 20th International Conference on very Large Databases. Morgan Kaufmann, San Francisco (1994)Google Scholar
  2. 2.
    Castro, L.N., Timmis, J.: Artificial Immune Systems: A New Computational Intelligence Approach. Springer, Heidelberg (2002)zbMATHGoogle Scholar
  3. 3.
    Cutello, V., Nicosia, G.: An Immunological Approach to Combinatorial Optimization Problems. In: Garijo, F.J., Riquelme, J.-C., Toro, M. (eds.) IBERAMIA 2002. LNCS (LNAI), vol. 2527, pp. 361–370. Springer, Heidelberg (2002)CrossRefGoogle Scholar
  4. 4.
    Endoh, S., Toma, N., Yamada, K.: Immune Algorithm for n-TSP. In: Proceedings of the IEEE Systems, Man and Cybernetics Conference, pp. 3844–3849 (1998)Google Scholar
  5. 5.
    Hofmeyr, S., Forrest, S.: Architecture for an Artificial Immune System. Evolutionary Computation 8(4), 443–473 (2000)CrossRefGoogle Scholar
  6. 6.
    Gonzales, F.A., Dasgupta, D.: An Immunogenetic Technique to Detect Anomalies in Network Traffic. In: Proceedings of Genetic and Evolutionary Computation, pp. 1081–1088. Morgan Kaufmann, San Mateo (2002)Google Scholar
  7. 7.
    Kephart, J.: A Biologically Inspired Immune System for Computers. In: Proceedings of Artificial Life, pp. 130–139 (1994)Google Scholar
  8. 8.
    Kelsey, J., Timmis, J.: Immune Inspired Somatic Contiguous Hypermutation for Function Optimisation. In: Cantú-Paz, E., Foster, J.A., Deb, K., Davis, L., Roy, R., O’Reilly, U.-M., Beyer, H.-G., Kendall, G., Wilson, S.W., Harman, M., Wegener, J., Dasgupta, D., Potter, M.A., Schultz, A., Dowsland, K.A., Jonoska, N., Miller, J., Standish, R.K. (eds.) GECCO 2003. LNCS, vol. 2723, pp. 207–218. Springer, Heidelberg (2003)CrossRefGoogle Scholar
  9. 9.
    Kuok, C., Fu, A., Wong, M.: Mining Fuzzy Association Rules in Databases. SIGMOD Record 17(1), 41–46 (1998)CrossRefGoogle Scholar
  10. 10.
    Lee, W., Stolfo, S.: Data Mining Approaches for Intrusion Detection. In: Proceedings of the 7th USENIX Security Symposium. Usenix Association, Berkeley (1998)Google Scholar
  11. 11.
    Lee, W., Stolfo, S., Mok: A Data Mining Framework for Building Intrusion Detection Models. In: Proceedings of the 1999 IEEE Symposium on Security and Privacy, Oakland, CA (1999)Google Scholar
  12. 12.
    Porras, P., Valdes, A.: Live Traffic Analysis of TCP/IP Gateways. In: Proceedings of the ISOC Symposium on Network and Distributed Systems Security (1998)Google Scholar
  13. 13.
    Nasaroui, O., Gonzales, F., Dasgupta, D.: The Fuzzy Artificial Immune System:Motivations, Basic Concepts, and Application to Clustering and Web Profiling. In: Proceedings of IEEE International Conference on Fuzzy Systems, pp. 711–716 (2002)Google Scholar
  14. 14.
    Tang, K.S., Man, K.F., Liu, Z.F., Kwong, S.: Minimal Fuzzy Memberships and Rules Using Hierarchical Genetic Algorithms. IEEE Transactions on Industrial Electronics 45(1), 162–169 (1998)CrossRefGoogle Scholar
  15. 15.
    Wang, W.D., Susan, M.B.: Genetic Algorithm Optimization of Membership Functions for Mining Fuzzy Association Rules. In: International Joint Conference on Information Systems, Fuzzy Theory and Technology Conference (2000)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Hongwei Mo
    • 1
  • Xiquan Zuo
    • 2
  • Lifang Xu
    • 1
  1. 1.Automation CollegeHarbin Engineering UniversityHarbinChina
  2. 2.College of Computer Science and TechnologyBeijing University of Posts and TelecommunicationsBeijingChina

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