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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Beimel, A. Ishai, Y. Kushilevitz, E. Orlov, I. |
| Copyright Year | 2012 |
| Abstract | An information-theoretic {\em private information retrieval} (PIR) protocol allows a client to retrieve the $i$-th bit of a database, held by two or more servers, without revealing information about $i$ to any individual server. Information-theoretic PIR protocols are closely related to {\em locally decodable codes} (LDCs), which are error correcting codes that can simultaneously offer a high level of robustness and sub linear-time decoding of each bit of the encoded message. Recent breakthrough results of Yekhanin (STOC 2007) and Efremenko (STOC 2009) have led to a dramatic improvement in the asymptotic complexity of PIR and LDC. We suggest a new ``cryptographic'' perspective on these recent constructions, which is based on a general notion of {\em share conversion} in secret-sharing schemes that may be of independent interest. Our new perspective gives rise to a clean framework which unifies previous constructions and generalizes them in several directions. In a nutshell, we use the following two-step approach: (1) apply {\em share conversion} to get a low-communication secure multiparty computation protocol $\cal P$ for a nontrivial class $\cal F$ of low-depth circuits, (2) use a lower bound on the {\em VC dimension} of $\cal F$ to get a good PIR protocol from $\cal P$. Our framework reduces the task of designing good PIR protocols to that of finding powerful forms of share conversion which support circuit classes of a high VC dimension. Motivated by this framework, we study the general power of share conversion and obtain both positive and negative results. Our positive results improve the concrete complexity of PIR even for very feasible real-life parameters. They also lead to some improvements in the asymptotic complexity of the best previous PIR and LDC constructions. For 3-server PIR, we improve the asymptotic communication complexity from $O(2^{146\sqrt{\log n\log\log n}})$ to $O(2^{6\sqrt{\log n\log\log n}})$ bits, where $n$ is the database size. Our negative results on share conversion establish some limitations on the power of our approach. |
| Starting Page | 258 |
| Ending Page | 268 |
| File Size | 384639 |
| Page Count | 11 |
| File Format | |
| ISBN | 9781467316637 |
| ISSN | 10930159 |
| e-ISBN | 9780769547084 |
| DOI | 10.1109/CCC.2012.23 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2012-06-26 |
| Publisher Place | Portugal |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Protocols Servers Complexity theory Logic gates Vectors Additives Databases VC dimension private information retrieval locally decodable codes secret-sharing secure multiparty computation constant-depth circuits matching vectors |
| Content Type | Text |
| Resource Type | Article |
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