LWE-Based FHE with Better Parameters

被引:3
作者
Wang, Fuqun [1 ,2 ,3 ]
Wang, Kunpeng [1 ,2 ]
Li, Bao [1 ,2 ]
机构
[1] Chinese Acad Sci, Inst Informat Engn, State Key Lab Informat Secur, Beijing, Peoples R China
[2] Chinese Acad Sci, Data Assurance & Commun Secur Res Ctr, Beijing, Peoples R China
[3] Univ Chinese Acad Sci, Beijing, Peoples R China
来源
ADVANCES IN INFORMATION AND COMPUTER SECURITY (IWSEC 2015) | 2015年 / 9241卷
关键词
Fully homomorphic encryption; Learning with errors; Subgaussian random variable; FULLY HOMOMORPHIC ENCRYPTION;
D O I
10.1007/978-3-319-22425-1_11
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
Fully homomorphic encryption allows a remote server to perform computable functions over the encrypted data without decrypting them first. We propose a public-key fully homomorphic encryption with better parameters from the learning with errors problem. It is a public key variant of Alperin-Sheriff and Peikert's symmetric-key fully homomorphic encryption (CRYPTO 2014), a simplified symmetric version of Gentry, Sahai and Waters' (CRYPTO 2013), and is based on a minor variant of Regev's public-key encryption scheme (STOC 2005) which may be of independent interest. Meanwhile, it can not only homomorphically handle "NAND" circuits, but also conform to the traditional wisdom that circuit evaluation procedure should be a naive combination of homomorphic additions and multiplications.
引用
收藏
页码:175 / 192
页数:18
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