Descrizione del progetto
Offrire agli utenti una maggiore riservatezza e sicurezza dei dati
Nel nostro mondo rapidamente digitalizzato, l’Internet delle cose (IoT) fa parte di quasi tutti gli aspetti della vita quotidiana. Con così tanti dispositivi connessi e informazioni in streaming, la privacy è diventata un problema serio. La maggior parte dei siti e dei servizi web raccoglie enormi quantità di dati e preferenze. In seguito, li vendono ai clienti che, a loro volta, ci forniscono annunci personalizzati. Il progetto PrivatePersonalData, finanziato dal programma di azioni Marie Skłodowska-Curie, si propone di offrire una soluzione a questo problema crescente con uno studio approfondito dei servizi di raccolta e protezione dei dati. Il progetto ha in programma di sviluppare un servizio che permetta agli utenti di decidere la quantità di dati che sono disposti a fornire ai siti web, aumentando così la sicurezza dei dati.
Obiettivo
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.
Campo scientifico
- 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
Parole chiave
Programma(i)
- HORIZON.1.2 - Marie Skłodowska-Curie Actions (MSCA) Main Programme
Meccanismo di finanziamento
HORIZON-TMA-MSCA-PF-EF - HORIZON TMA MSCA Postdoctoral Fellowships - European FellowshipsCoordinatore
106 82 ATHINA
Grecia