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Cyfrowa prywatność w crowdsourcingu

Cyfrowa prywatność w crowdsourcingu

Mohammad Faisal / Santosh Kumar

140,11 €
IVA incluido
Disponible
Editorial:
KS OmniScriptum Publishing
Año de edición:
2026
Materia
Empresa y gestión
ISBN:
9786630167863
140,11 €
IVA incluido
Disponible

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Sobre IBD

Głównym celem niniejszego badania było opracowanie skutecznego, adaptacyjnego systemu, który umożliwiłby przewidywanie i ochronę prywatności cyfrowej w środowisku crowdsourcingowym. W tym celu w ramach badań przeanalizowano czynniki behawioralne wpływające na decyzje dotyczące ochrony danych osobowych, zastosowano modele uczenia maszynowego do przewidywania stanu prywatności oraz zbadano cechy determinujące zachowania związane z szyfrowaniem. Ostatecznym celem było wypełnienie luki między innowacjami technologicznymi a zorientowaną na użytkownika ochroną prywatności w wirtualnych ekosystemach opartych na współpracy.

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