[1] Iranian Passive Defense Organization, “Internet, the Newest and Most Effective Weapon,” [Online]: Available: http://paydarymelli.ir/fa/news /2499, Accessed: 2014.
[2] Iranian Passive Defense Organization “Cyber Wars in 21th Century,”[Online]:Available: http://paydarymelli.ir/fa/news/2472, Accessed: 2014.
[3] C. Kruegel and G. Vigna, “Anomaly Detection of Web-based Attacks,” In Proc of the 10th ACM Conference on Computer and Communications Security, ACM New York, pp. 251-261, 2003.
[4] H. T. Nguyen, “ Reliable Machine Learning Algorithms for Intrusion Detection Systems, Ph.D. dissertation, Dept. of Computer Science, Gjøvik University College, Gjøvik, Norway, 2012.
[5] C. Torrano‐Gimenez, H. T. Nguyen, G. Alvarez, and K. Franke, “Combining Expert Knowledge with Automatic Feature Extraction for Reliable Web Attack Detection,” Security and Communication Networks, vol. 8, pp. 2750-2767, August 2012.
[6] K. L. Ingham, “Anomaly Detection for HTTP Iintrusion Detection: Algorithm Comparisons and the Effect of Generalization on Accuracy,” Ph.D. dissertation, Dept. of Computer Science, The University of New Mexico, Albuquerque, USA, 2007.
[7] G. M. Nascimento, “Anomaly Detection of Web-based Attacks,” M. S. Thesis, Dept. of Computer Science, University of Lisbon, Lisbone, Portugal, 2010.
[8] V. Chandola, A. Banerjee, and V. Kumar, “Anomaly Detection: A survey,” ACM Computing Surveys (CSUR), vol. 41, p. 15, July 2009.
[9] D. M. J. Tax, “One-Class Classification,” Ph.d dissertation, Dept. of Computer Science, Delft University, Delft, Netherland, 2001.
[10] S. Khandelwal, P. Shah, M. K. Bhavsar, and S. Gandhi, “Frontline Techniques to Prevent Web Application Vulnerability,” International Journal of Advanced Research in Computer Science and Electronics Engineering (IJARCSEE), vol. 2, p. 208, 2013.
[11] X. Ling, J. Huang, and H. Zhang, “Advances in Artificial Intelligence: AUC: a Better Measure than Accuracy in Comparing Learning Algorithms,” Advances in Artificial Intelligence, vol. 267, no. 1, pp. 329-341, May 2003.
[12] M. Rahmanimanesh, “Anomaly Detection of Adhoc Networks Using Nodes Validation,” Ph.D dissertation, Dept. of Computer Engineering, Tarbiat Modares University, Tehran, Iran, 2013.
[13] M. Reformat and R. R. Yager, “Building ensemble classifiers using belief functions and OWA operators,” Soft Computing, vol. 12, pp. 543-558, April 2008.
[14] D. Filev and R. R. Yager, “On the Issue of Obtaining OWA Operator Weights Fuzzy Sets and Systems,” vol. 94, pp. 157-169, March 1998.
[15] C. Kruegel, G. Vigna, and W. Robertson, “A Multi-model Approach to the Detection of Web-based Attacks,” Computer Networks, vol. 48, pp. 717-738, August 2005.
[16] T. Berners-Lee, R. Fielding, and H. Frystyk, “Hypertext Transfer Protocol, HTTP/1.0”, 1996.
[17] A. P. Bradley, “The Use of the Area under the ROC Curve in the Evaluation of Machine Learning Algorithms,” Pattern recognition, vol. 30, pp. 1145-1159, July 1997.
[18] The HTTP Dataset CSIC2012, Department of Information Processing and Codification (T.I.C.), of the Institute of Applied Physics (I.F.A.), Spanish Scientific Research Council (C.S.I.C.), <http://iec.csic.es/dataset/>, 2012.
[19] D. M. J. Tax, “Dd tools 2012, the Data Description Toolbox for Matlab,” version 1.9.1.< http://prlab.tudelft.nl/david-tax/dd_tools.html >, 2013.
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