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. |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
jmclaveroTFM0715memoria.pdf | Memoria del proyecto | 1,15 MB | Adobe PDF | View/Open |
jmclaveroTFM0715presentación.pdf | Presentación del proyecto en pdf | 480,01 kB | Adobe PDF | View/Open |
Share:
Items in repository are protected by copyright, with all rights reserved, unless otherwise indicated.