A nature-inspired approach to speed up optimum-path forest clustering and its application to intrusion detection in computer networks

Author:

Costa Kelton A.P.,Pereira Luis A.M.,Nakamura Rodrigo Y.M.,Pereira Clayton R.,Papa João P.,Xavier Falcão Alexandre

Funder

Fundação de Amparo à Pesquisa do Estado de São Paulo

Conselho Nacional de Desenvolvimento Científico e Tecnológico

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior

Publisher

Elsevier BV

Subject

Artificial Intelligence,Information Systems and Management,Computer Science Applications,Theoretical Computer Science,Control and Systems Engineering,Software

Reference54 articles.

1. Anomaly, event, and fraud detection in large network datasets;Akoglu,2013

2. Fernando Bação, Victor Lobo, Marco Painho, Self-Organizing Maps as Substitutes for k-Means Clustering, 2005, pp. 476-483.

3. J. Cannady, Artificial neural networks for misuse detection, in: Proceedings of the National Information Systems Security Conference, 1998, pp. 443–456.

4. Brain tissue mr-image segmentation via optimum-path forest clustering;Cappabianco;Comput. Vis. Image Und.,2012

5. Identification and prediction of internet traffic using artificial neural networks;Chabaa;J. Intell. Learn. Syst. Appl.,2010

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