Please use this identifier to cite or link to this item: http://hdl.handle.net/10609/43087
Title: Detección de intrusos con Snort
Author: Clavero Almirón, Juan Manuel
Tutor: Pérez-Solà, Cristina  
Others: Universitat Oberta de Catalunya
Abstract: Every network administrator needs to know the traffic of its network in order to protect it from forbidden access, distinguishing wanted and allowed traffic from unwanted one. A tool like Snort allows to classify the existing traffic and to perform a series of actions to tackle the undesirable. This project simulates a simplified private network in which there's a need to know if some kind of attacks from the outside is performed.
Keywords: computer security
Snort
Document type: info:eu-repo/semantics/masterThesis
Issue Date: Jun-2015
Publication license: http://www.gnu.org/copyleft/fdl.html
Appears in Collections:Trabajos finales de carrera, trabajos de investigación, etc.

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jmclaveroTFM0715presentación.pdfPresentación del proyecto en pdf480,01 kBAdobe PDFThumbnail
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