Otro
Boosting optimum-path forest clustering through harmony Search and its applications for intrusion detection in computer networks
Registro en:
Proceedings of the 2012 4th International Conference on Computational Aspects of Social Networks, CASoN 2012, p. 181-185.
10.1109/CASoN.2012.6412399
WOS:000314803000031
2-s2.0-84874030833
Autor
Costa, Kelton
Pereira, Clayton
Nakamura, Rodrigo
Pereira, Luis
Papa, Joao
Resumen
In this paper we propose a nature-inspired approach that can boost the Optimum-Path Forest (OPF) clustering algorithm by optimizing its parameters in a discrete lattice. The experiments in two public datasets have shown that the proposed algorithm can achieve similar parameters' values compared to the exhaustive search. Although, the proposed technique is faster than the traditional one, being interesting for intrusion detection in large scale traffic networks. © 2012 IEEE.