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Non-Volatile Memory Forensic Analysis in Windows 10 IoT Core

Albacete Research Institute of Informatics, 02071 Albacete, Spain
Author to whom correspondence should be addressed.
These authors contributed equally to this work.
Entropy 2019, 21(12), 1141;
Received: 8 October 2019 / Revised: 10 November 2019 / Accepted: 20 November 2019 / Published: 22 November 2019
(This article belongs to the Special Issue Blockchain: Security, Challenges, and Opportunities)
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. View Full-Text
Keywords: cybersecurity; forensics; IoT; Windows 10 IoT Core cybersecurity; forensics; IoT; Windows 10 IoT Core
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MDPI and ACS Style

Castelo Gómez, J.M.; Roldán Gómez, J.; Carrillo Mondéjar, J.; Martínez Martínez, J.L. Non-Volatile Memory Forensic Analysis in Windows 10 IoT Core. Entropy 2019, 21, 1141.

AMA Style

Castelo Gómez JM, Roldán Gómez J, Carrillo Mondéjar J, Martínez Martínez JL. Non-Volatile Memory Forensic Analysis in Windows 10 IoT Core. Entropy. 2019; 21(12):1141.

Chicago/Turabian Style

Castelo Gómez, Juan M., José Roldán Gómez, Javier Carrillo Mondéjar, and José L. Martínez Martínez. 2019. "Non-Volatile Memory Forensic Analysis in Windows 10 IoT Core" Entropy 21, no. 12: 1141.

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