J. Carlos Mex-Perera

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This paper focuses on the study of a new method for detecting masqueraders in computer systems. The main feature of such masqueraders is that they have knowledge about the behavior profile of legitimate users. The dataset provided by Schonlau et al [4] (SEA) has been modified for including synthetic sessions created by masquer-aders using the behavior(More)
Security in computer networks is an issue of special interest due to the importance of information inside organizations. Besides, a lot of communication actually involves computer networks, so it is necessary to provide security within. There are several problems related to security in computer networks. In this work only detection of masquerade attacks is(More)
—Wireless sensor networks (WSNs) nodes are commonly designed to work with limited resources of memory, energy and processing; these constraints are aimed at reducing costs in order to make them suitable for a large number of applications: data mining, medicine, military, high-security industry and automation, among others. The routing protocol is one of the(More)
In this work we show a performance improvement of our system by taking into account the weights of the mixture of Gaussians of the Hidden Markov Model. Furthermore and independently tunning of each of the phoneme Support Vector Machine (SVM) parameters is performed. In our system the user utters a pass phrase and the phoneme waveform segments are found(More)