Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/54567
Title: Towards self-organizing maps based Computational Intelligent system for Denial of Service Attacks Detection
Authors: Pérez Del Pino, M. A. 
García Báez, P. 
Fernández López, P. 
Suárez Araújo, C. P. 
UNESCO Clasification: 120304 Inteligencia artificial
330408 Fiabilidad de los ordenadores
Issue Date: 2010
Conference: 14th International Conference on Intelligent Engineering Systems, INES 2010 
Abstract: Denial of Service (DoS) attacks are some of the biggest problems for computer security. Detection and early alert of these attacks would be helpful information which could be used to make appropriate decisions in order to minimize their negative impact. This paper proposes a new approach based on SOM-type unsupervised artificial neural networks for detection of this type of attacks at an early stage. We present a SOM-based Computational Intelligent System for DoS Attacks Detection (CISDAD) and a new representation scheme for information. A study has been carried out on real traffic from a healthcare environment based on web technologies. Results show effectiveness in the detection of toxic traffic and congestion regarding abuse in communication networks.
URI: http://hdl.handle.net/10553/54567
ISBN: 978-1-4244-7650-3
9781424476527
ISSN: 1543-9259
DOI: 10.1109/INES.2010.5483858
Source: INES 2010 - 14th International Conference on Intelligent Engineering Systems, Proceedings (5483858), p. 151-157
Appears in Collections:Actas de congresos
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