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Non-Volatile Memory Forensic Analysis in Windows 10 IoT Core

The increase in the number of cybersecurity incidents in which internet of things (IoT) devices are involved has called for an improvement in the field of computer forensics, which needs to provide techniques in order to perform complete and efficient investigations in this new environment. With the...

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Autores principales: Castelo Gómez, Juan Manuel, Roldán Gómez, José, Carrillo Mondéjar, Javier, Martínez Martínez, José Luis
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7514486/
http://dx.doi.org/10.3390/e21121141
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author Castelo Gómez, Juan Manuel
Roldán Gómez, José
Carrillo Mondéjar, Javier
Martínez Martínez, José Luis
author_facet Castelo Gómez, Juan Manuel
Roldán Gómez, José
Carrillo Mondéjar, Javier
Martínez Martínez, José Luis
author_sort Castelo Gómez, Juan Manuel
collection PubMed
description The increase in the number of cybersecurity incidents in which internet of things (IoT) devices are involved has called for an improvement in the field of computer forensics, which needs to provide techniques in order to perform complete and efficient investigations in this new environment. With the aim of doing so, new devices and systems are being studied in order to offer guidelines for investigators on how to examine them. This papers follows this approach and presents a forensic analysis of the non-volatile memory of Windows 10 IoT Core. It details how the investigation should be performed and highlights the relevant information that can be extracted from storage. In addition, a tool for the automation of the retrieval of the pieces of evidence detected is provided.
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spelling pubmed-75144862020-11-09 Non-Volatile Memory Forensic Analysis in Windows 10 IoT Core Castelo Gómez, Juan Manuel Roldán Gómez, José Carrillo Mondéjar, Javier Martínez Martínez, José Luis Entropy (Basel) Article The increase in the number of cybersecurity incidents in which internet of things (IoT) devices are involved has called for an improvement in the field of computer forensics, which needs to provide techniques in order to perform complete and efficient investigations in this new environment. With the aim of doing so, new devices and systems are being studied in order to offer guidelines for investigators on how to examine them. This papers follows this approach and presents a forensic analysis of the non-volatile memory of Windows 10 IoT Core. It details how the investigation should be performed and highlights the relevant information that can be extracted from storage. In addition, a tool for the automation of the retrieval of the pieces of evidence detected is provided. MDPI 2019-11-22 /pmc/articles/PMC7514486/ http://dx.doi.org/10.3390/e21121141 Text en © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Castelo Gómez, Juan Manuel
Roldán Gómez, José
Carrillo Mondéjar, Javier
Martínez Martínez, José Luis
Non-Volatile Memory Forensic Analysis in Windows 10 IoT Core
title Non-Volatile Memory Forensic Analysis in Windows 10 IoT Core
title_full Non-Volatile Memory Forensic Analysis in Windows 10 IoT Core
title_fullStr Non-Volatile Memory Forensic Analysis in Windows 10 IoT Core
title_full_unstemmed Non-Volatile Memory Forensic Analysis in Windows 10 IoT Core
title_short Non-Volatile Memory Forensic Analysis in Windows 10 IoT Core
title_sort non-volatile memory forensic analysis in windows 10 iot core
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7514486/
http://dx.doi.org/10.3390/e21121141
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