Compact lossy and all-but-one trapdoor functions from lattice

Leixiao Cheng, Quanshui Wu, Yunlei Zhao
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引用次数: 2

Abstract

Lossy trapdoor functions (LTDF) and all-but-one trapdoor functions (ABO-TDF) are fundamental cryptographic primitives. And given the recent advances in quantum computing, it would be much desirable to develop new and improved lattice-based LTDF and ABO-TDF. In this work, we provide more compact constructions of LTDF and ABO-TDF based on the learning with errors (LWE) problem. In addition, our LWE-based ABO-TDF can allow smaller system parameters to support super-polynomially many injective branches in the construction of CCA secure public key encryption. As a core building tool, we provide a more compact homomorphic symmetric encryption schemes based on LWE, which might be of independent interest. To further optimize the ABO-TDF construction, we employ the full rank difference encoding technique. As a consequence, the results presented in this work can substantially improve the performance of all the previous LWE-based cryptographic constructions based upon LTDF and ABO-TDF.
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晶格上的紧致有损和除一个以外的所有活门函数
有损陷门函数(LTDF)和除一个以外的所有陷门函数(ABO-TDF)是基本的加密基元。鉴于量子计算的最新进展,开发新的和改进的基于晶格的LTDF和ABO-TDF将是非常可取的。在这项工作中,我们基于带误差学习(LWE)问题提供了更紧凑的LTDF和ABO-TDF结构。此外,我们的基于lwe的ABO-TDF可以在构建CCA安全公钥加密时允许更小的系统参数支持超多项式多注入分支。作为核心构建工具,我们提供了一种基于LWE的更紧凑的同态对称加密方案,这可能是独立的兴趣。为了进一步优化ABO-TDF结构,我们采用了全秩差编码技术。因此,本研究的结果可以大大提高以前基于LTDF和ABO-TDF的所有基于lwe的加密结构的性能。
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