Please use this identifier to cite or link to this item:

http://hdl.handle.net/10609/118987
Title: Técnicas y herramientas para el análisis de debilidades en volcados de memoria RAM de sistemas basados en Linux
Author: Betancor Olivares, Juan Ramón
Director: García Font, Víctor
Tutor: Méndez Muñoz, Víctor
Keywords: enterprise security
dumps
forensic analysis
Issue Date: 1-Jun-2020
Publisher: Universitat Oberta de Catalunya (UOC)
Abstract: In recent years, society has migrated from analog to digital, depositing much of our lives in cyberspace, from bank accounts to phone numbers. Organizations and companies seeing the possibilities that the digital world offers, over the years have also taken the step to cyberspace. However, they are not the only ones to whom technology has attracted attention, criminals have also been attracted due to the world of possibilities and anonymity offered to them. From the 90s to the present day, cybercrime has been growing unstoppably, as well as security and prevention measures towards this phenomenon, one of these being forensic analysis. In the present work we will analyze the existing methodologies and techniques for memory dumps analysis, as well as the implementation of these tools on a memory dump of a standard IoT system with the objective of identifying the weaknesses that it presents. Then, a report will be generated with the data obtained during the analysis process in a way that allows us to see clearly if there are problems and weaknesses in terms of design and implementation. Finally, having the conclusions, different alternatives and solutions at the level of analysis and design will be proposed and analyzed to the problems encountered in such a way that they can be mitigated and prevented from occurring in the future.
Language: Spanish
URI: http://hdl.handle.net/10609/118987
Appears in Collections:Bachelor thesis, research projects, etc.

Share:
Export:
Files in This Item:
File Description SizeFormat 
jbetancoroTFM0620memoria.pdfMemoria del TFM3.49 MBAdobe PDFView/Open

This item is licensed under a Creative Commons License Creative Commons