Forensic Technologies to Automate the Acquisition of Digital Evidences

García, David, Tobarra, Llanos, Robles-Gómez, Antonio y Pastor-Vargas, Rafael(2022) .Forensic Technologies to Automate the Acquisition of Digital Evidences. The 2022 International Conference on Computational Science and Computational Intelligence (CSCI’22.En: . (2022)

Ficheros (Some files may be inaccessible until you login with your e-spacio credentials)
Nombre Descripción Tipo MIME Size
Robles_Gomez_Antonio_ForensicTechnologies.pdf Robles Gomez_Antonio_ForensicTechnologies.pdf application/pdf 416.18KB

Título de la Conferencia The 2022 International Conference on Computational Science and Computational Intelligence (CSCI’22
Fecha de inicio de la Conferencia 2022
Fecha fín de la Conferencia 2022
Numeros de las páginas 2028-2033
Titulo Forensic Technologies to Automate the Acquisition of Digital Evidences
Autor(es) García, David
Tobarra, Llanos
Robles-Gómez, Antonio
Pastor-Vargas, Rafael
Materia(s) Ingeniería Informática
Resumen The main goal of this work is to propose the automatic acquisition of evidences in a remote way. This automated capacity becomes interesting for companies with extensive networks and/or several locations, as it allows them to delegate and centralize the acquisition task at a single point in their structure, while saving time and travel costs. This research has been carried out through the initial implementation of a virtual laboratory made up of a network and different scenarios, by including an experimentation process. The virtual network includes both the machine from which automatic acquisitions are performed and the devices from retrieving the evidence. The group of devices will be made up of various experiments. The aim is to analyze the viability of the acquisition in different scenarios, since distributed networks are not homogeneous in the real world
Palabra clave CSCI-RTCW
Forensic technologies
automation
digital evidence acquisition
security policies
Editor(es) IEEE
Fecha 2022
Formato application/pdf
Identificador bibliuned:DptoSCC-ETSI-Ponencias-Arobles-002
http://e-spacio.uned.es/fez/view/bibliuned:DptoSCC-ETSI-Ponencias-Arobles-002
https://www.doi.org/10.1109/CSCI58124.2022.00364
ISBN 979-8-3503-2028-2
Idioma eng
Versión de la publicación publishedVersion
Nivel de acceso y licencia http://creativecommons.org/licenses/by-nc-nd/4.0
Tipo de recurso conferenceObject
Tipo de acceso Acceso restringido

 
Versiones
Versión Tipo de filtro
Contador de citas: Google Scholar Search Google Scholar
Estadísticas de acceso: 36 Visitas, 24 Descargas  -  Estadísticas en detalle
Creado: Fri, 09 Feb 2024, 04:59:19 CET