GhostDB: Hiding data from prying eyes

Christophe Salperwyck, Nicolas Anciaux, Mehdi Benzine, Luc Bouganim, Philippe Pucheral, Dennis Shasha

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Imagine that you have been entrusted with private data, such as corporate product information, sensitive government information, or symptom and treatment information about hospital patients. You may want to issue queries whose result will combine private and public data, but private data must not be revealed, say, to the prying eyes of some insurance fraudster. GhostDB is an architecture and system to achieve this. You carry private data in a smart USB device (a large Flash persistent store combined with a tamper and snoop-resistant CPU and small RAM). When the key is plugged in, you can issue queries that link private and public data and be sure that the only information revealed to a potential spy is which queries you pose and the public data you access. Queries linking public and private data entail novel distributed processing techniques on extremely unequal devices (standard computer and smart USB device) in which data flows in only one direction: from public to private. This demonstration shows GhostDB's query processing in action.

Original languageEnglish (US)
Title of host publication33rd International Conference on Very Large Data Bases, VLDB 2007 - Conference Proceedings
EditorsJohannes Gehrke, Christoph Koch, Minos Garofalakis, Karl Aberer, Carl-Christian Kanne, Erich J. Neuhold, Venkatesh Ganti, Wolfgang Klas, Chee-Yong Chan, Divesh Srivastava, Dana Florescu, Anand Deshpande
PublisherAssociation for Computing Machinery, Inc
Pages1346-1349
Number of pages4
ISBN (Electronic)9781595936493
StatePublished - 2007
Event33rd International Conference on Very Large Data Bases, VLDB 2007 - Vienna, Austria
Duration: Sep 23 2007Sep 27 2007

Publication series

Name33rd International Conference on Very Large Data Bases, VLDB 2007 - Conference Proceedings

Other

Other33rd International Conference on Very Large Data Bases, VLDB 2007
CountryAustria
CityVienna
Period9/23/079/27/07

ASJC Scopus subject areas

  • Hardware and Architecture
  • Information Systems and Management
  • Information Systems
  • Software

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