Private searching on streaming data

  • Authors:
  • Rafail Ostrovsky;William E. Skeith

  • Affiliations:
  • UCLA Computer Science Department;UCLA Department of Mathematics

  • Venue:
  • CRYPTO'05 Proceedings of the 25th annual international conference on Advances in Cryptology
  • Year:
  • 2005

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Abstract

In this paper, we consider the problem of private searching on streaming data. We show that in this model we can efficiently implement searching for documents under a secret criteria (such as presence or absence of a hidden combination of hidden keywords) under various cryptographic assumptions. Our results can be viewed in a variety of ways: as a generalization of the notion of a Private Information Retrieval (to the more general queries and to a streaming environment as well as to public-key program obfuscation); as positive results on privacy-preserving datamining; and as a delegation of hidden program computation to other machines.