同态矩阵计算_C++_Makefile_下载.zip

# HEMat HEMat is a software package for performing a secure outsourced matrix computation using homomorphic encryption (https://dl.acm.org/citation.cfm?id=3243837). ## Setting up HEMat library ### Dependencies Our library requires a c++ compiler and the following libraries: * `GMP` (GNU Multi-Precision library, >= 6.1.2), which is available at https://gmplib.org, * `NTL` (>=11.0.0), which is available at http://www.shoup.net/ntl/, (with pThread) * `HEAAN`, which is an implementation of the paper "Homomorphic Encryption for Arithmetic of Approximate Numbers" (https://eprint.iacr.org/2016/421.pdf). We refered to the underlying HE library in the "src" folder. You can build the libarary “libheaan.a" by typing "$make all" in the "/src" directory. ### Installing HEMat library HEMat is easy to configure and build in Linux and macOS. First, clone this Github repository into a directory of your choice: ```sh git clone https://github.com/K-miran/HEMat ``` You can then install our library by the following work with command line tools in the "/HEMat" directory. : ```sh cd HEMat make new ``` This will build our library "libHEMat.a". ## Running a test source code The program will run with several secure matrix algorithms (e.g. matrix addition, multiplication, transposition, and rectangular matrix multiplication). For example, you run a test program in the the directory by doing as follows: ```sh make test ./foo ```