Please use this identifier to cite or link to this item:
http://hdl.handle.net/10609/52861
Title: | Detección de extracción no autorizada de información con Snort |
Author: | Adrover Llinás, Andrés |
Tutor: | Pérez-Solà, Cristina |
Others: | Universitat Oberta de Catalunya |
Abstract: | The aim of this paper is the presentation of a proof of concept to demonstrate the possibilities and requirements and necessary configurations, software Snort to detect possible unauthorized removal of business information. So our proposal must be an autonomous system that allows the detection of abnormal behavior which suggest a possible unauthorized removal of information from different computing environments available to the company. |
Keywords: | Snort unauthorized removal Business intelligence -- TFG |
Document type: | info:eu-repo/semantics/masterThesis |
Issue Date: | 6-Jun-2016 |
Publication license: | http://creativecommons.org/licenses/by/3.0/es/ |
Appears in Collections: | Trabajos finales de carrera, trabajos de investigación, etc. |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
Aadrover_TFM_0606.mp4 | Vídeo demostración del funcionamiento de la prueba de concepto desarrollada | 92,45 MB | MP4 | View/Open |
aadroverTFG0716memòria.pdf | Memoria del TFG | 985,43 kB | Adobe PDF | View/Open |
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