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Enhancement for Secure Multiple Matrix Multiplications over Ring-LWE Homomorphic Encryption

机译:Ring-LWE同态加密对安全多矩阵乘法的增强

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Homomorphic encryption allows to perform various calculations on encrypted data without decryption. In this paper, we propose an efficient method for secure multiple matrix multiplications over the somewhat homomorphic encryption scheme proposed by Brakerski and Vaikuntanathan. Our method is a generalization of Duong et al.'s method, which computes only one multiplication between two matrices. In order to minimize both the ciphertext size and the computation cost, our method packs every matrix into a single ciphertext so that it enables efficient matrix multiplications over the packed ciphertexts. We also propose several modifications to obtain practical performance of secure multiplications among matrices with larger size and entries. We show implementation results of our packing method with modifications for secure multiplications among two and three matrices with 32 x 32 and 64 x 64 sizes and entries from 16-bit to 64-bit.
机译:同态加密允许在不解密的情况下对加密数据执行各种计算。在本文中,我们提出了一种有效的方法,用于在Brakerski和Vaikuntanathan提出的同态加密方案上进行安全的多矩阵乘法。我们的方法是Duong等人方法的推广,该方法仅计算两个矩阵之间的一个乘法。为了最小化密文大小和计算成本,我们的方法将每个矩阵打包到单个密文中,以便能够对打包的密文进行有效的矩阵乘法。我们还提出了几种修改方案,以获得具有较大大小和条目的矩阵之间的安全乘法的实际性能。我们展示了打包方法的实现结果,该打包方法经过修改,可对大小为32 x 32和64 x 64的两个和三个矩阵以及从16位到64位的条目进行安全乘法。

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