Description du projet
Offrir aux utilisateurs une confidentialité et une sécurité accrues des données
Dans notre monde qui se numérise rapidement, l’internet des objets (IdO) fait partie de presque tous les aspects de la vie quotidienne. Avec autant de dispositifs connectés et d’informations en continu, la vie privée est devenue une préoccupation majeure. La plupart des sites et services web collectent des quantités massives de données et préférences nous concernant. Ensuite, ils les vendent à des clients qui, à leur tour, nous envoient des publicités personnalisées. Financé par le programme Actions Marie Skłodowska-Curie, le projet PrivatePersonalData a pour objectif de répondre à ce problème croissant par le biais d’une étude approfondie des services de collecte et de protection des données. Le projet prévoit de développer un service qui permettra aux utilisateurs de décider de la quantité de données qu’ils sont prêts à fournir aux sites web, ce qui renforcera la sécurité des données.
Objectif
Personal data are constantly collected and shared via web cites, mobile applications like social networking and navigation apps, smart home devices like smart TVs and voice assistants, and IoT devices. Personal data are then monetized to support targeted advertising, personalized services, differential pricing, risk assessment and influencing public opinion. This happens at the expense of privacy and fairness for individuals and the society. To address this, governments around the world are enacting privacy laws, e.g. GDPR (European Union) and CCPA (California). Unfortunately, since profits can be at odds with privacy considerations, industry players have an incentive to circumvent the law. What is more, the technical concepts and associated tools developed so far and used by the laws are neither strong enough nor wide enough in scope. Last, users themselves are conflicted: they enjoy the plethora of personalized services but are alarmed by the loss of their privacy. In this proposal we advocate for a user-centered approach to privacy where each user may dictate how much privacy is willing to trade in exchange for services. We will systematically investigate the efficiency of state of the art privacy mechanisms, both formal, e.g. differential and information theoretic privacy, and data-driven, e.g. generative adversarial privacy, in terms of how well they protect data privacy while maintaining some utility of the obfuscated data and the services that depend upon them. We will do so not only via analysis but also via real world experiments in the context of applications at the forefront of personal data privacy leaks. We will also introduce novel privacy tools for real world use cases which allow users to select the desired level of data privacy and utility of service. Use cases of interest include mobile smartphone data leaks, online tracking via web browsing and apps usage, and user profiling within popular apps like video sharing.
Champ scientifique
- natural sciencescomputer and information sciencesinternetinternet of things
- engineering and technologyelectrical engineering, electronic engineering, information engineeringinformation engineeringtelecommunicationsmobile phones
- engineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringcontrol systemshome automation
- social scienceslaw
Programme(s)
- HORIZON.1.2 - Marie Skłodowska-Curie Actions (MSCA) Main Programme
Régime de financement
HORIZON-TMA-MSCA-PF-EF - HORIZON TMA MSCA Postdoctoral Fellowships - European FellowshipsCoordinateur
106 82 ATHINA
Grèce