Private searching on streaming data

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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. © International Association for Cryptologic Research. 2005.

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Ostrovsky, R., & Skeith, W. E. (2006). Private searching on streaming data. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 3621 LNCS, pp. 223–240). https://doi.org/10.1007/11535218_14

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