Publisher
Springer Science and Business Media LLC
Subject
General Earth and Planetary Sciences,General Environmental Science
Reference62 articles.
1. Abuadlla, Y., Kvascev, G., Gajin, S., Jovanovic, Z.: Flow-based anomaly intrusion detection system using two neural network stages. Comput. Sci. Inf. Syst. 11(2), 601–622 (2014)
2. Alazab, M., Venkatraman, S., Watters, P., Alazab, M.: Zero-day malware detection based on supervised learning algorithms of api call signatures. In: Proceedings of the Ninth Australasian Data Mining Conference-Volume 121, pp. 171–182. Australian Computer Society, Inc. (2011)
3. Al-Nashif, Y., Kumar, A.A., Hariri, S., Luo, Y., Szidarovsky, F., Qu, G.: Multilevel intrusion detection system (ml-ids). In: 2008 International Conference on Autonomic Computing, pp. 131–140. IEEE (2008)
4. Al-Yaseen, W.L., Othman, Z.A., Nazri, M.Z.A.: Multi-level hybrid support vector machine and extreme learning machine based on modified k-means for intrusion detection system. Expert Syst. Appl. 67, 296–303 (2017)
5. Amoli, P.V., Hämäläinen, T.: Real time multi stage unsupervised intelligent engine for nids to enhance detection rate of unknown attacks. In: 2013 IEEE Third International Conference on Information Science and Technology (ICIST), pp. 702–706. IEEE (2013)
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