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 SizeFormat 

Aadrover_TFM_0606.mp4

Vídeo demostración del funcionamiento de la prueba de concepto desarrollada92,45 MBMP4View/Open
aadroverTFG0716memòria.pdfMemoria del TFG985,43 kBAdobe PDFThumbnail
View/Open