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Forensic Technologies to Automate the Acquisition of Digital Evidences

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dc.contributor.authorGarcía Guerrero, David
dc.contributor.authorTobarra Abad, María de los Llanos
dc.contributor.authorRobles Gómez, Antonio
dc.contributor.authorPastor Vargas, Rafael
dc.date.accessioned2024-05-20T12:03:14Z
dc.date.available2024-05-20T12:03:14Z
dc.date.issued2022
dc.description.abstractThe 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 worldes
dc.description.versionversión publicada
dc.identifier.urihttps://hdl.handle.net/20.500.14468/12972
dc.language.isoen
dc.publisherIEEE
dc.relation.centerE.T.S. de Ingeniería Informática
dc.relation.congressThe 2022 International Conference on Computational Science and Computational Intelligence (CSCI’22
dc.relation.departmentSistemas de Comunicación y Control
dc.rightsinfo:eu-repo/semantics/restrictedAccess
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0
dc.subject.keywordsCSCI-RTCW
dc.subject.keywordsForensic technologies
dc.subject.keywordsautomation
dc.subject.keywordsdigital evidence acquisition
dc.subject.keywordssecurity policies
dc.titleForensic Technologies to Automate the Acquisition of Digital Evidenceses
dc.typeconference proceedingsen
dc.typeactas de congresoes
dspace.entity.typePublication
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relation.isAuthorOfPublication17556659-f434-4220-841d-aac35f492e62
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relation.isAuthorOfPublication.latestForDiscovery1be04c44-15f2-4457-a07e-0b593b644325
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