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In this work we present a family of neural networks, the multi-layerperceptron networks, and some of the algorithms used to train those networks(we hope that with enough details and precision as to satisfy a mathematicalpublic). Then we study how to use those networks to solve a problem that arisesfrom the field of information security: the remote identification of OperatingSystems (part of the information gathering steps of the penetration testingmethodology). This is the contribution of this work: it is an application ofclassic Artificial Intelligence techniques to a classification problem thatgave better results than the classic techniques used to solve it.

Aplicacion de las Redes Neuronales al Reconocimiento de Sistemas Operativos