[29] **Radtke PVW, Sabourin R, and Wong T, "Intelligent feature extraction for ensemble of** 
classifiers," In Proc. of 8th **International Conference on Document Analysis and Recognition** 
(ICDAR 2005), Seoul: IEEE Computer Society, 2005, pp. 866-870. 

[30] **R. Rifkin, A. Klautau, "In defense of one-vs-all classification," Journal of Machine Learning** 
Research, 5, 2004, pp. 143-151. 

[31] **Chebrolu S., Abraham A., and Thomas J.P., "Feature deduction and ensemble design of** 
intrusion detection systems," Computer & Security, 24(4), 2004, pp. 295-307. 

[32] **Tsymbal A., Puuronen S., Patterson D.W., "Ensemble feature selection with the simple Bayesian** 
classification," Information Fusion, 4(2), 2003, pp. 87-100. 

[33] **Sung A.H., and Mukkamala S., "Identifying important features for intrusion detection using** 
support vector machines and neural networks," In Proc. of International Symposium on Applications and the Internet (SAINT 2003), 2003, pp. 209-217. 

[34] **Oliveira LS, Sabourin R, Bortolozzi RF, and Suen CY, "Feature selection using multi-objective** 
genetic algorithms for handwritten digit recognition," In Proc. of 16th **International Conference** 
on Pattern Recognition (ICPR 2002), Quebec: IEEE Computer Society, 2002, pp. 568-571. 

[35] **Mukkamala S., and Sung A.H., "Identifying key features for intrusion detection using neural** 
networks," In Proc. of the ICCC International Conference on Computer Communications, 2002. 

[36] **Lee WK, and Stolfo SJ, "A framework for constructing features and models for intrusion** 
detection systems," ACM Transactions on Information and System Security, 3(4), 2000, pp. 227261. 

[37] **The KDD Archive. KDD99 cup dataset, 1999.** 
http://kdd.ics.uci.edu/databases/kddcup99/kddcup99.html
[38] **M. Tavallaee, E. Bagheri, W. Lu, and A. Ghorbani, "A Detailed Analysis of the KDD CUP 99** 
Data Set," Submitted to Second IEEE Symposium on Computational Intelligence for Security and Defense Applications (CISDA) 2009. 

[39] **J. McHugh, "Testing intrusion detection systems: a critique of the 1998 and 1999 darpa intrusion** 
detection system evaluations as performed by Lincoln laboratory," ACM Transactions on Information and System Security, vol. 3. Np. 4, 2000, pp. 262-294.

[40] **James P. Anderson, "Computer security threat monitoring and surveillance," Technical Report** 
98-17, James P. Anderson Co., Fort Washington, Pennsylvania, USA, April 1980.

[41] **Dorothy E. Denning, "An intrusion detection model," IEEE Transaction on Software** 
Engineering, SE-13(2), 1987, pp. 222-232.

[42] **Dorothy E. Denning, and P.G. Neumann "Requirement and model for IDES- A real-time** 
intrusion detection system," Computer Science Laboratory, SRI International, Menlo Park, CA 
94025-3493, Technical Report \# 83F83-01-00, 1985.

[43] **S.E. Smaha, and Haystack, "An intrusion detection system," in Proc. of the IEEE Fourth** 
Aerospace Computer Security Applications Conference, Orlando, FL, 1988, pp. 37-44.

[44] **S. Forrest, S.A. Hofmeyr, A. Somayaji, T.A. Longstaff, "A sense of self for Unix processes," in** 
Proc. of the IEEE Symposium on Research in Security and Privacy, Oakland, CA, USA, 1996, pp. 120-128.

[45] **A. Valdes, K. Skinner, "Adaptive model-based monitoring for cyber attack detection," in Recent** 
Advances in Intrusion Detection Toulouse, France, 2000, pp. 80-92.

[46] **C. Kruegel, D. Mutz, W. Robertson, F. Valeur, "Bayesian event classification for intrusion** 
detection," in Proc. of the 19th **Annual Computer Security Applications Conference, Las Vegas,** 
NV, 2003.