Detección Estadística de Intrusiones en Redes de Datos
(Statistical Intrusion Detection in Data Networks)
José Daniel Britos (firstname.lastname@example.org)
Universidad Nacional de Córdoba
This paper appears in: Revista IEEE América Latina
Publication Date: Sept. 2007
Volume: 5, Issue: 5
The growth of application of electronic commerce
relying on Internet and the network attack have become more
common and sophisticated. The network systems demand more
elaborate protections measures to ensure safely operation, and
continue provide critical services. These measures include meth-
ods of detection and response to intrusion attempts in real time.
In this work we propose statistical models and multivariate
classifiers to detect anomalous traffic shape and the use of neural
network classifier. Numerical results are shown for the simples
case of denial of service attack.
Intrusion, IDS, Statical, Neural Net, Back propagation
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