Trusted cells: A sea change for personal data services

Nicolas Anciaux, Philippe Bonnet, Luc Bouganim, Benjamin Nguyen, Iulian Sandu Popa, Philippe Pucheral

Research output: Contribution to conferencePaperResearchpeer-review

24 Citations (Scopus)

Abstract

How do you keep a secret about your personal life in an age where your daughter’s glasses record and share everything she senses, your wallet records and shares your financial transactions, and your set-top box records and shares your family’s energy consumption? Your personal data has become a prime asset for many companies around the Internet, but can you avoid -- or even detect -- abusive usage? Today, there is a wide consensus that individuals should have increased control on how their personal data is collected, managed and shared. Yet there is no appropriate technical solution to implement such personal data services: centralized solutions sacrifice security for innovative applications, while decentralized solutions sacrifice innovative applications for security. In this paper, we argue that the advent of secure hardware in all personal IT devices, at the edges of the Internet, could trigger a sea change. We propose the vision of trusted cells: personal data servers running on secure smart phones, set-top boxes, secure portable tokens or smart cards to form a global, decentralized data platform that provides security yet enables innovative applications. We motivate our approach, describe the trusted cells architecture and define a range of challenges for future research.

Original languageEnglish
Publication date2013
Publication statusPublished - 2013
Externally publishedYes
Event6th Biennial Conference on Innovative Data Systems Research, CIDR 2013 - Pacific Grove, United States
Duration: 6 Jan 20139 Jan 2013

Conference

Conference6th Biennial Conference on Innovative Data Systems Research, CIDR 2013
Country/TerritoryUnited States
CityPacific Grove
Period06/01/201309/01/2013

Bibliographical note

Funding Information:
This work has been partially funded by the French ANR KISS project.

Funding Information:
6. ACKNOWLEDGEMENTS This work has been partially funded by the French ANR KISS project.

Publisher Copyright:
© 2013 Conference on Innovative Data Systems Research (CIDR). All rights reserved.

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