基于(标准)LWE的高效全同态加密

Zvika Brakerski, V. Vaikuntanathan
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引用次数: 1593

摘要

我们提出了一种完全同态的加密方案,该方案仅基于(标准)带误差学习(LWE)假设。将已知的结果应用到LWE上,我们的方案的安全性是基于任意格上的“短向量问题”的最坏情况硬度。我们的建设在两个方面改进了以往的工作:\begin{enumerate}\item 我们证明了“有些同态”加密可以基于LWE,使用一种新的{\em再线性化}技术。相比之下,所有先前的方案都依赖于与各种环的理想相关的复杂性假设。 \item 我们偏离了之前所有作品中使用的“挤压范式”。我们引入了一种新的{\em降维模量}技术,该技术在{\em不引入额外假设的情况下}缩短了密文并降低了方案的解密复杂度。 \end{enumerate}我们的方案具有非常短的密文,因此我们使用它来构造一个渐近高效的基于lwe的单服务器私有信息检索(PIR)协议。我们的协议(在公钥模型中)的通信复杂性是每单比特查询$k \cdot \polylog(k)+\log \dbs$位(这里$k$是一个安全参数)。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Efficient Fully Homomorphic Encryption from (Standard) LWE
We present a fully homomorphic encryption scheme that is based solely on the(standard) learning with errors (LWE) assumption. Applying known results on LWE, the security of our scheme is based on the worst-case hardness of ``short vector problems'' on arbitrary lattices. Our construction improves on previous works in two aspects:\begin{enumerate}\item We show that ``somewhat homomorphic'' encryption can be based on LWE, using a new {\em re-linearization} technique. In contrast, all previous schemes relied on complexity assumptions related to ideals in various rings. \item We deviate from the "squashing paradigm'' used in all previous works. We introduce a new {\em dimension-modulus reduction} technique, which shortens the cipher texts and reduces the decryption complexity of our scheme, {\em without introducing additional assumptions}. \end{enumerate}Our scheme has very short cipher texts and we therefore use it to construct an asymptotically efficient LWE-based single-server private information retrieval (PIR) protocol. The communication complexity of our protocol (in the public-key model) is $k \cdot \polylog(k)+\log \dbs$ bits per single-bit query (here, $k$ is a security parameter).
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