Anomaly Based Intrusion Detection Systems in Computer Networks: Feedforward Neural Networks and Nearest Neighbor Models as Binary Classifiers

Author:

Protic Danijela,Stankovic Miomir,Antic Vladimir

Publisher

Springer Nature Singapore

Reference59 articles.

1. Hanumantha Rao K, Srinivas G, Damodhar A, Krishna VM (2011) Implementation of anomaly design technique using machine learning algorithms. Int J Comput Sci Telecommun 2(3):25–31

2. Ciric V, Cvetkovic D, Gavrilovic N, Stojanovic N, Milentijevic I (2001) Input splits design techniques for network intrusion detection on Hadoop cluster. Facta Univ, Ser: Electron Energ 34(2):239–257

3. Jyothsha V, Prasad R (2011) A review of anomaly based intrusion detection systems. Int J Comput Appl 28(7):26–35

4. Protic D, Stankovic M (2018) Anomaly-based intrusion detection: feature selection and normalization influence to the machine learning models accuracy. In: Proceedings of 4th international conference on engineering and formal science, Amsterdam 14–15 Dec 2018, pp 46–51

5. Protic D, Stankovic M (2020) Detection of anomalies in the computer network behavior. In: Proceedings of 5th international conference on engineering and formal science, Brussels, 24–25 Jan 2020, pp 40–46

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