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NoFeud : Privacitat per a xarxes socials

Authors: Massanet Bienvenido, Adrià;

NoFeud : Privacitat per a xarxes socials

Abstract

Este trabajo fin de carrera es un estudio-prototipo de un modelo de privacidad para redes sociales donde los mensajes son visibles sólo para quien comparte un cierto número de amigos en común, utilizando los algoritmos RSA y la compartición de secretos de Shamir. Para realizar el prototipo se ha creado un plugin de Google Chrome para la parte de cliente y para la parte de servidor un servicio en NodeJS y el almacenamiento en una base de datos NoSQL MongoDB, que son tecnologías emergentes dentro del desarrollo web; por lo que todo el código ha sido escrito en JavaScript.

Aquest treball fi de carrera és un estudi-prototip d'un model de privacitat per a xarxes socials on els missatges són visibles només per a qui comparteix un cert nombre d'amics en comú, fent servir els algorismes RSA i la compartició de secrets de Shamir. Per realitzar el prototip s'ha creat un plugin de Google Chrome per a la part de client i per a la part de servidor un servei en NodeJS i l'emmagatzematge en una base de dades NoSQL mongoDB, que són tecnologies emergents dins del desenvolupament web; per tant, tot el codi ha estat escrit en JavaScript.

Country
Spain
Related Organizations
Keywords

JavaScript, social networks, criptografia, cryptography, redes sociales, Software de aplicación -- Desarrollo -- TFC, xarxes socials, Google Chrome, Programari d'aplicació -- Desenvolupament -- TFC, criptografía, Application software -- Development -- TFC

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green