一种基于压缩感知的公钥加密方案

Liu Zhen
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引用次数: 0

摘要

为了提高压缩感知的安全性,本文提出了压缩感知公钥加密(CSPKE)的新思想,将基于格的加密与压缩感知相结合,实现了一种具体的CSPKE算法,并在基于错误学习(LWE)假设的标准模型上证明了其对选择明文攻击(IND-CPA)的不可分辨安全性。该算法利用LWE的矩阵特性,保留了CS的线性结构。效率分析表明,与CS相比,其成本增量是可以接受的。它可以应用于许多领域,例如保护基于CS的数据采集过程的安全。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A public key encryption scheme based on compressed sensing
In order to improve the security of Compressed Sensing, this paper put forward a new idea-Compressed Sensing Public Key Encryption (CSPKE), realized a concrete CSPKE algorithm by combing Lattice-based Cryptography with Compressed Sensing, and proved its security of indistinguishability against chosen plaintext attack (IND-CPA) on standard model based on Learning With Error (LWE) assumptions. By using the matrix characteristics of LWE, this algorithm preserved the linear structure of CS. Efficiency analysis shows that it has acceptable increment on cost comparing to CS. It can be used in many fields, such as protecting security of data acquisition process based on CS.
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