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Pluggable personal data servers

Authors: Anciaux, Nicolas; Bouganim, Luc; Guo, Yanli; Pucheral, Philippe; Vandewalle, Jean-Jacques; Yin, Shaoyi;

Pluggable personal data servers

Abstract

An increasing amount of personal data is automatically gathered on servers by administrations, hospitals and private companies while several security surveys highlight the failure of database servers to keep confidential data really private. The advent of powerful secure tokens, combining the security of smart card microcontrollers with the storage capacity of NAND Flash chips, introduces a credible alternative to the systematic centralization of personal data. By embedding a full-fledged database server in such device, an individual can now store her personal data in her own secure token, kept under her control, and never disclose in clear her private data to the outside untrusted world. This demonstration shows the benefit of the proposed approach in terms of privacy protection and pervasiveness through a healthcare scenario. This scenario is extracted from a field experiment where medical folders embedded in secure tokens are used to improve the coordination of medical care at home for elderly people. The demonstration also highlights interesting features of the embedded DBMS engine introduced to tackle the secure token's strong hardware constraints.

Country
France
Keywords

Secure device, Privacy, [INFO.INFO-DB] Computer Science [cs]/Databases [cs.DB], Storage model

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    8
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
8
Average
Top 10%
Average
Green