Fuzzy ARTMAP Neural Network IDS Evaluation applied for real IEEE 802.11w data base

Actas de congresos

Fecha

2018-10-10

Registro en:

Proceedings of the International Joint Conference on Neural Networks, v. 2018-July.

http://hdl.handle.net/11449/187060

10.1109/IJCNN.2018.8489217

2-s2.0-85056519057

https://repositorioslatinoamericanos.uchile.cl/handle/2250/5368098

Autor

Universidade Estadual Paulista (Unesp)

Ciencia e Tecnologia Do Estado de Sao Paulo - IFSP

Institución

Universidade Estadual Paulista (Brasil)

Resumen

In the latest years, the network computers and computational systems are receiving several cyber-attacks that affect its security. This issue is pushing researches at intrusion detection system (IDS) techniques development. This paper describes the creation of a real database of a wireless network with IEEE 802.11w security amendment applied. The database was used to evaluate the Fuzzy ARTMAP classifier IDS. The methodology shows the implementation of Fuzzy ARTMAP neural network as IDS. The obtained results are promising and attest that the proposed classifier is feasible for this IDS application.

Materias

IDS

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