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Compressible FHE with Applications to PIR

机译:可压缩FHE及其在PIR中的应用

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Homomorphic encryption (HE) is often viewed as impractical, both in communication and computation. Here we provide an addi-tively homomorphic encryption scheme based on (ring) LWE with nearly optimal rate (1 - ε for any ε > 0). Moreover, we describe how to compress many Gentry-Sahai-Waters (GSW) ciphertexts (e.g., ciphertexts that may have come from a homomorphic evaluation) into (fewer) high-rate ciphertexts. Using our high-rate HE scheme, we are able for the first time to describe a single-server private information retrieval (PIR) scheme with sufficiently low computational overhead so as to be practical for large databases. Single-server PIR inherently requires the server to perform at least one bit operation per database bit, and we describe a rate-(4/9) scheme with computation which is not so much worse than this inherent lower bound. In fact it is probably less than whole-database AES encryption specifically about 2.3 mod-q multiplication per database byte, where q is about 50 to 60 bits. Asymptotically, the computational overhead of our PIR scheme is O(log log λ + log log log N), where A is the security parameter and N is the number of database files, which are assumed to be sufficiently large.
机译:在通信和计算中,同态加密(HE)通常被认为是不切实际的。在这里,我们提供了一种基于(环形)LWE的,具有几乎最佳速率(对于任何ε> 0都是1-ε)的同态加密方案。此外,我们描述了如何将许多Gentry-Sahai-Waters(GSW)密文(例如可能来自同态评估的密文)压缩为(较少)高速率密文。使用我们的高速率HE方案,我们首次能够描述具有足够低的计算开销的单服务器私有信息检索(PIR)方案,从而对大型数据库具有实用性。单服务器PIR本质上要求服务器对每个数据库位执行至少一个位操作,并且我们描述了一种采用计算的rate-(4/9)方案,该方案不会比此固有下限差很多。实际上,它可能比整个数据库的AES加密要少,特别是每个数据库字节约2.3 mod-q乘法,其中q约为50至60位。渐近地,我们的PIR方案的计算开销为O(log logλ+ log log log N),其中A是安全性参数,N是数据库文件的数量,它们被假定足够大。

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