Project description
Preserving privacy in data analytics processing
While businesses increasingly rely on data analytics for growth, consumers have become increasingly concerned about the safety of their personal information. With the European General Data Protection Regulation now in effect, there is a need for businesses to adopt technologies that guarantee the privacy of clients’ personal data, especially when data analytics processing is carried out by untrusted third parties. To address this, the EU-funded PAPAYA project aims to devise and develop a platform of modules that protects the privacy of users on an end-to-end basis while enabling the processing of the data. It will allow data owners to extract relevant information from the protected data in an affordable and reliable way.
Objective
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).
Fields of science
- 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
Programme(s)
Funding Scheme
IA - Innovation actionCoordinator
06410 Biot
France