Keep a few: outsourcing data while maintaining confidentiality

  • Authors:
  • Valentina Ciriani;Sabrina De Capitani Di Vimercati;Sara Foresti;Sushil Jajodia;Stefano Paraboschi;Pierangela Samarati

  • Affiliations:
  • DTI, Università degli Studi di Milano, Crema, Italia;DTI, Università degli Studi di Milano, Crema, Italia;DTI, Università degli Studi di Milano, Crema, Italia;CSIS, George Mason University, Fairfax, VA;DIIMM, Università degli Studi di Bergamo, Dalmine, Italia;DTI, Università degli Studi di Milano, Crema, Italia

  • Venue:
  • ESORICS'09 Proceedings of the 14th European conference on Research in computer security
  • Year:
  • 2009

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Abstract

We put forward a novel paradigm for preserving privacy in data outsourcing which departs from encryption. The basic idea behind our proposal is to involve the owner in storing a limited portion of the data, and maintaining all data (either at the owner or at external servers) in the clear. We assume a relational context, where the data to be outsourced is contained in a relational table. We then analyze how the relational table can be fragmented, minimizing the load for the data owner. We propose several metrics and present a general framework capturing all of them, with a corresponding algorithm finding a heuristic solution to a family of NP-hard problems.