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Digitale Privatsphäre beim Crowdsourcing

Digitale Privatsphäre beim Crowdsourcing

Mohammad Faisal / Santosh Kumar

140,10 €
IVA incluido
Disponible
Editorial:
KS OmniScriptum Publishing
Año de edición:
2026
Materia
Empresa y gestión
ISBN:
9786630147384
140,10 €
IVA incluido
Disponible

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Sobre IBD

Das Hauptziel dieser Studie bestand darin, einen wirksamen adaptiven Rahmen zu entwickeln, mit dem sich die digitale Privatsphäre in Crowdsourcing-Umgebungen vorhersagen und schützen lässt. Zu diesem Zweck untersuchte die Studie Verhaltensfaktoren, die die Entscheidungen hinsichtlich des Datenschutzes beeinflussen, wandte Modelle des maschinellen Lernens zur Vorhersage des Datenschutzstatus an und ermittelte die Merkmale, die das Verschlüsselungsverhalten bestimmen. Das oberste Ziel bestand darin, die Lücke zwischen technologischer Innovation und nutzerorientiertem Datenschutz in kollaborativen virtuellen Ökosystemen zu schließen.

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