Projektbeschreibung
Mehr Datenschutz und Sicherheit für Nutzerinnen und Nutzer
In unserer zunehmend digitalisierten Welt ist das Internet der Dinge (Internet of Things, IoT) Teil fast sämtlicher Aspekte des täglichen Lebens. Bei so vielen vernetzten Geräten und Informationen, die hin und her strömen, ist der Schutz personenbezogener Daten zu einem ernsthaften Problem geworden. Die meisten Websites und Webdienste erfassen große Mengen unserer Daten und Präferenzen. Anschließend verkaufen sie diese an Kunden, die uns wiederum mit personalisierter Werbung beliefern. Das im Rahmen der Marie-Skłodowska-Curie-Maßnahmen finanzierte Projekt PrivatePersonalData will mit einer umfassenden Untersuchung von Diensten zur Datenerfassung und zum Datenschutz eine Lösung für dieses eskalierende Problem bieten. Das Projekt plant die Entwicklung eines Dienstes, der es den Menschen ermöglicht, selbst zu entscheiden, wie viele Daten sie bereit sind, an Websites weiterzugeben, und so die Datensicherheit zu erhöhen.
Ziel
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.
Wissenschaftliches Gebiet
- 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
Schlüsselbegriffe
Programm/Programme
- HORIZON.1.2 - Marie Skłodowska-Curie Actions (MSCA) Main Programme
Aufforderung zur Vorschlagseinreichung
Andere Projekte für diesen Aufruf anzeigenFinanzierungsplan
HORIZON-TMA-MSCA-PF-EF - HORIZON TMA MSCA Postdoctoral Fellowships - European FellowshipsKoordinator
106 82 ATHINA
Griechenland