Descripción del proyecto
Preservar la privacidad en el tratamiento analítico de datos
A medida que las empresas aumentan su confianza en el análisis de datos para impulsar su crecimiento, los consumidores se sienten cada vez más preocupados por la seguridad de sus datos personales. Con la entrada en vigor del Reglamento General de Protección de Datos, las empresas se han visto obligadas a adoptar soluciones tecnológicas que garanticen la privacidad de los datos personales de sus clientes, especialmente cuando el tratamiento analítico de dichos datos lo llevan a cabo terceros que no son de confianza. Para hacer frente a esta situación, el equipo del proyecto PAPAYA, financiado con fondos europeos, pretende diseñar y desarrollar una plataforma provista de módulos que proteja la privacidad de los usuarios de extremo a extremo sin limitar por ello el tratamiento de sus datos. Esto permitirá a los propietarios de esos contenidos extraer información pertinente de los datos protegidos de forma tan fiable como asequible.
Objetivo
The valuable insights that can be inferred from analytics of data generated and collected from a variety of devices and applications are transforming businesses and are therefore one of the key motivations for organisations to adopt such technologies. Nevertheless, the data being analysed and processed are highly sensitive and put the individuals’ rights to privacy at risk. With the imminent arrival of the European General Data Protection Regulation (GDPR), companies are coerced to adopt privacy enhancing technologies that, on the one hand, protect data to ensure their clients’ privacy and on the other hand, allow their processing while keeping them meaningful, useful, and protected at the same time.
The PAPAYA project aims at addressing the privacy concerns when data analytics tasks are performed by untrusted third-party data processors. Since these tasks may be performed obliviously on protected data (i.e. encrypted data), the PAPAYA will design and develop dedicated privacy preserving data analytics primitives that will enable data owners to extract valuable information from this protected data, while being cost-effective and accurate.
The PAPAYA project will consider compliance with the GDPR as a key enabler to provide solutions that minimize the privacy risks while increasing trust in third-party data processors by means of auditing and visualization modules (a dashboard). The PAPAYA primitives as well as the dashboard will be combined in an integrated platform that will be designed, implemented and validated through a set of use cases reflecting relevant real world applications (namely, healthcare analytics and web & mobile data analytics).
Ámbito científico
- natural sciencescomputer and information sciencescomputer securitydata protection
- social scienceseconomics and businessbusiness and managementinnovation management
- natural sciencescomputer and information sciencescomputer securitycryptography
- social sciencessociologyanthropologyscience and technology studies
- natural sciencescomputer and information sciencesartificial intelligencecomputational intelligence
Palabras clave
Programa(s)
Convocatoria de propuestas
Consulte otros proyectos de esta convocatoriaConvocatoria de subcontratación
H2020-DS-SC7-2017
Régimen de financiación
IA - Innovation actionCoordinador
06410 Biot
Francia