Protecting data privacy in private information retrieval schemes

Protecting data privacy in private information retrieval schemes Protecting Data Privacy in Private Information Retrieval Schemes Yael Gertner* Yuval Ishai t Eyal Kushilevitd Tal Malkid Abotract Private Information Retrieval (PIR) schemesallow a user to retrieve the i-th bit of a data string 2, replicated in k 2 2 databnaes (in the information-theoretic setting) or k 2 1 databnses (in the computational setting), while keeping the value of i private, The main cost measure for such a scheme io its communication complexity. In this paper we introduce a model of SymmetricallyPrivate Information Retrieval (SPIR), where the privacy of the data, aa well as of the user, is guaranteed. That is, in every invocation of a SPIR protocol, the user learns only a oingle (physical) bit of 2 and no other information about the data, Currently known PIR schemes fail to meet this goal. WC ahow how to transform PIR schemesinto SPIR schemes (with information theoretic privacy), paying at most a logarithmic factor in communication complexity. To this end, we introduce and utilize a new cryptographic primitive, denoted condilional disclosure of secrets, which we believe may be a useful building block for the design of more general crypto[Jraphic protocols. In particular, we get a k-database SPIR nchcme of http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png

Protecting data privacy in private information retrieval schemes

Association for Computing Machinery — May 23, 1998

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Datasource
Association for Computing Machinery
Copyright
Copyright © 1998 by ACM Inc.
ISBN
0-89791-962-9
D.O.I.
10.1145/276698.276723
Publisher site
See Article on Publisher Site

Abstract

Protecting Data Privacy in Private Information Retrieval Schemes Yael Gertner* Yuval Ishai t Eyal Kushilevitd Tal Malkid Abotract Private Information Retrieval (PIR) schemesallow a user to retrieve the i-th bit of a data string 2, replicated in k 2 2 databnaes (in the information-theoretic setting) or k 2 1 databnses (in the computational setting), while keeping the value of i private, The main cost measure for such a scheme io its communication complexity. In this paper we introduce a model of SymmetricallyPrivate Information Retrieval (SPIR), where the privacy of the data, aa well as of the user, is guaranteed. That is, in every invocation of a SPIR protocol, the user learns only a oingle (physical) bit of 2 and no other information about the data, Currently known PIR schemes fail to meet this goal. WC ahow how to transform PIR schemesinto SPIR schemes (with information theoretic privacy), paying at most a logarithmic factor in communication complexity. To this end, we introduce and utilize a new cryptographic primitive, denoted condilional disclosure of secrets, which we believe may be a useful building block for the design of more general crypto[Jraphic protocols. In particular, we get a k-database SPIR nchcme of

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