1. Nema, A., Tiwari, B., Tiwari, V.: Improving accuracy for intrusion detection through layered approach using support vector machine with feature reduction. In: Proceedings of the ACM Symposium on Women in Research 2016, ACM, New York, pp. 26–31 (2016)
2. Manikandan, R., Oviya, P., Hemalatha, C.: A new data mining based network intrusion detection model. J. Comput. Appl. 5(EICA2012-1), 1–10 (2012)
3. Wenke, L., Salvatore, J.: Data mining approaches for intrusion detection. In: Proceedings of the 7th USENIX Security Symposium San Antonio, Texas (1998)
4. Mahbod, T.: A detailed analysis of the KDD CUP 99 data set. In: IEEE Symposium on Computational Intelligence in Security and Defence Applications (2009)
5. Heady, R., Luger, G., Maccabe, A., Servilla, M.: The architecture of a network level intrusion detection system. Technical report, Computer Science Department, University of New Mexico (1990)