The valuable insights that can be inferred from data analytics 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’ privacy at risk. Nowadays, the current European General Data Protection Regulation (GDPR) represents a major challenge for companies (especially small-medium enterprises) as they are required to follow a privacy-by-design) approach into their systems and to adopt Privacy Enhancing Technologies that on the one hand, protect data to ensure their clients’ privacy and on the other 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 modules that will enable data owners to extract valuable information from this protected data, while being cost-effective and accurate.