[1] Papoulis and Pillai S.U.; Probability, Random Variables and Stochastic Processes, book, (2002)
[2] Wei Li; Using Genetic Algorithm for Network Intrusion Detection, SANS Institute, USA, (2004)
[3] Melanie M.; An Introduction to Genetic Algorithms, Cambridge, Massachusetts London, England, Fifth printing, (1999)
[4] Hartmut P.; Genetic and Evolutionary Algorithms: Principles, Methods and Algorithms Genetic and Evolutionary Algorithm Toolbox. Hartmut Pohlheim, (2003)
[5] Middlemiss M.J. and Dick G.; “Weighted Feature Extraction Using a Genetic Algorithm for Intrusion Detection”, Evolutionary Computation,Vol. 3 pp. 1699 - 1675, (2003)
[6] Qu X., Hariri S. and Yousif M.; “An Efficient Network Intrusion Detection Method Based on Information Theory and Genetic Algorithm”, Proceedings of the 24th IEEE International Performance Computing and Communications, (2005)
[7] Chittur; “Model Generation for an Intrusion Detection System Using Genetic Algorithms”, http://www1.cs.columbia.edu/ids/publications/gaids-paper01.pdf, (2005)
[8] Lu W. and Traore I.; “Detecting New Forms of Network Intrusion Using Genetic Programming”, Computational Intelligence, Vol. 20, pp. 3, Blackwell Publishing, Malden, pp. 475 - 494, (2004)
[9] Jim G., Da-xin L. and in-ge C.; “An Induction Learning Approach for Building Intrusion Detection Models Using Genetic Algorithms” , Proceedings of the 5Ih World Congress on Intelligent Control and Automation, (June 15 - 19 2004)
[10] http://kdd.ics.uci.edu/databases/ kddcup99/kddcup99.html
[11] Tsang, S. Kwong and Wang H.; Anomaly Intrusion Detection using Multi-Objective Genetic Fuzzy System and Agent-based Evolutionary Computation Framework, Proceedings of the Fifth IEEE International Conference on Data Mining, (2005)
[12] Levin; “KDD-99 Classifier Learning Contest LLSoft's Results”, Overview. SIGKDD Explorations. ACMSIGKDD, Vol. 1, No. 2, pp. 67 – 75, (2000)
[13] Song, Heywood M.1. and Zincir-Heywood A.N.; “Training Genetic Programming on Half a Million Patterns: An Example from Anomaly Detection”, IEEE Transactions on Evolutionary Computation, Vol. 9, No. 3, (2005)
[14] Agarwal R.and Joshi. M.V.; “Pnrule: A New Framework for Learning Classifier Models in Data Mining”, Department of Computer Science, University of Minnesota, Report No. RC-21719, (2000)
[15] Elkan; Results of the Kdd’99 Classifier Learning, ACM SIGKDD Int. Conf. on Knowledge Discovery and Data Mining, Boston, MA, Vol. 1, No. 2, (2000)
)