API of homomorphic binary operations such as binary comparison or binary Euclidian division using the library HElib
Still maintained (April 2018) by Quentin McGaw (email: [email protected])
- Written in C++
- Cross-platform using either:
- Docker (see Dockerfile)
- Vagrant (see Vagrantfile)
- API is in src/he.cpp
- src/TEST_ files are unit tests and timing tests for the homomorphic binary operations implemented in src/he.cpp. You should inspire for them to develop your own code.
- makefile to build hbc and/or setup almost everything for you (depending on your OS).
- Powerpoint Presentation available on Dropbox, on Github and on Youtube where I present it.
- Detailed report available on Github or on Dropbox
This project was developed as my Master thesis at Imperial College London.
This project concerns the research and development of a real-use application of homomorphic encryption for cloud computing. The application takes advantage of the various possibilities and limitations of present homomorphic encryption schemes and programming libraries to remain usable in terms of time. The foundations of the application rely on the design of binary operations using homomorphic encryption. All the binary logic gates and various binary blocks were developed and adapted to provide enough functionalities to the application. The project focuses on providing features to cloud computing such as calculating averages on large amounts of encrypted numbers in a relatively short and decent time. The result is an application program interface written in C++ allowing to perform various operations on integers. It thus shows homomorphic encryption can be used today for simple operations if the security is more important than the speed of execution.
- By default, src/main.cpp runs all the unit tests of the project
- Change main.cpp with your code by inspiring from the tests src/TEST_
- You can also add circuits in src/he.cpp and then add corresponding tests, and tell me if you want to contribute !
- Refer to the Running it section
Requirements:
- A Linux based machine, MacOS or Windows Enterprise
- At least 3GB of RAM
- An internet connection
-
Install Docker (from here)
-
Place the makefile and the src directory from the hbc repository (or the whole repo) in
/yourpath
in example -
Enter the following command in your terminal:
docker run -it --rm -v /yoursrcpath:/hbc qmcgaw/homomorphic-binary-circuits
This downloads the Docker image (the first time), mount the makefile and source files in the Docker container, compile your source code and run the compiled program. You can stop the execution with CTRL+C.
-
Edit the makefile and/or source files on your host machine
-
Enter
make
in the Docker container to re-build the binary hbc -
Run the executable in the Docker container with
./hbc
or even on your host -
To quit the Docker container and delete it, simply enter
exit
Requirements:
- At least 3GB of RAM
- An internet connection
-
Install Git
-
On Windows, have an ssh client or add the ssh.exe of
C:\Program Files\Git\usr\bin
to your environment path -
Install Virtual Box
-
Install Vagrant
-
In a terminal, enter
git clone https://github.com/qdm12/hbc.git
-
Go to the hbc directory
cd hbc
-
Launch the virtual machine which will setup and build everything for you with
vagrant up
This takes about 30 minutes the first time, depending on your connection speed and CPU.
It launches an Ubuntu virtual machine with only what is necessary for this project.
WARNING: If you do not have hardware virtualization, you can still run it but you have to change trusty64 to trusty32 and vb.cpus = 2 to vb.cpus = 1.
-
Log in the virtual machine with
vagrant ssh
The working directory hbc on your host machine is shared with the virtual machine at
/vagrant
-
In the virtual machine, enter
cd /vagrant
- You can modify the files on your host machine (Windows, MacOS etc.)
- Changes you make are automatically reflected in the virtual machine
- Compile hbc again with
make
in the virtual machine - Run hbc with ./hbc from the virtual machine or your host machine.
- You can use
make hbcNrun
to build and automatically run the main.cpp code
When you are done:
- Enter
exit
in the virtual machine, bringing you back to your host machine. - Enter
vagrant halt
to shutdown the machine. Or entervagrant destroy
to delete the machine.
To log back in, enter vagrant up
and it should take about 30 seconds (except if you destroy the machine)
Requirements:
- At least 3GB of RAM
- An internet connection
For your information, software dependencies:
Program or Library | Requirement 1 | Requirement 2 | Requirement 3 | Requirement 4 | Requirement 5 | Requirement 6 |
---|---|---|---|---|---|---|
hbc | g++ | make | libboost | c++11 | HElib | |
HElib | g++ | make | git | NTL 10.5.0 | GMP 6.1.2 | |
NTL 10.5.0 | g++ | make | GMP 6.1.2 | |||
GMP 6.1.2 | g++ | make | m4 | perl |
- Make sure you have installed make
- Open a terminal as root or administrator ideally
- Setup the necessary libraries
- With the Makefile provided (only works for Debian and Ubuntu)
- Note: git, g++, m4, perl, gmp and ntl will be installed automatically
- Enter
make HElib
in a terminal in the hbc directory.
- Manually (if Docker, Vagrant and the Makefile are not good for you)
- Mac OSX
- Install Xcode manually or with
xcode-select --install
- Install brew with
ruby -e "$(curl -fsSL https://raw.githubusercontent.com/Homebrew/install/master/install)"
- Install libraries with
brew install wget git g++ m4 perl libboost
- Download GMP with
curl https://gmplib.org/download/gmp/gmp-6.1.2.tar.bz2 > gmp-6.1.2.tar.bz2
- Extract it and go to its directory with
tar -xvjf gmp-6.1.2.tar.bz2 && cd gmp-6.1.2
- Configure it with
./configure
- Build it with
make
- Install it with
make install
- Optionally, check it with
make check
- Go back and remove used files with
cd .. && rm -fr gmp-6.1.2*
- Download NTL with
curl http://www.shoup.net/ntl/ntl-10.5.0.tar.gz > ntl-10.5.0.tar.gz
- Extract it and go to its directory with
tar -xvzf ntl-10.5.0.tar.gz && cd ntl-10.5.0/src
- Configure it with
./configure NTL_GMP_LIP=on
- Build it with
make
- Install it with
make install
- Go back and remove used files with
cd ../.. && rm -fr ntl-10.5.0*
- Clone HElib with with
git clone https://github.com/shaih/HElib.git
- Go to its src directory
cd HElib/src
- Build it with
make
- Optionally, check it with
make check
- Go back to the working directory with
cd ../..
- Install Xcode manually or with
- Other Linux OSes
- Install the libaries with (add
sudo
maybe)apt-get install git g++ m4 perl libboost-all-dev
- Download GMP with
wget https://gmplib.org/download/gmp/gmp-6.1.2.tar.bz2
- Extract it and go to its directory with
tar -xvjf gmp-6.1.2.tar.bz2 && cd gmp-6.1.2
- Configure it with
./configure
- Build it with
make
- Install it with
make install
- Optionally, check it with
make check
- Go back and remove used files with
cd .. && rm -fr gmp-6.1.2*
- Download NTL with
wget http://www.shoup.net/ntl/ntl-10.5.0.tar.gz
- Extract it and go to its directory with
tar -xvzf ntl-10.5.0.tar.gz && cd ntl-10.5.0/src
- Configure it with
./configure NTL_GMP_LIP=on
- Build it with
make
- Install it with
make install
- Go back and remove used files with
cd ../.. && rm -fr ntl-10.5.0*
- Clone HElib with with
git clone https://github.com/shaih/HElib.git
- Go to its src directory
cd HElib/src
- Build it with
make
- Optionally, check it with
make check
and test it withmake test
. - Go back to the working directory with
cd ../..
- Install the libaries with (add
- Mac OSX
- With the Makefile provided (only works for Debian and Ubuntu)
- Build hbc
- With the Makefile provided (compatible will all platforms).
- Build it with
make hbc
- Build it with
- Manually
- Create the directory objects
mkdir -p objects
- Compile the API
g++ -c src/he.cpp -I HElib/src -o objects/he.o
- Compile the helper functions
g++ -c src/helper_functions.cpp -o objects/helper_functions.o
- Compile the various tests
g++ -c src/TEST_GATES.cpp -I HElib/src -o objects/test_gates.o
g++ -c src/TEST_CIRC_COMB.cpp -I HElib/src -o objects/test_circ_comb.o
g++ -c src/TEST_CIRC_SEQ.cpp -I HElib/src -o objects/test_circ_seq.o
g++ -c src/TEST_CIRC_ARITHM.cpp -I HElib/src -o objects/test_circ_arithm.o
- Compile the main.cpp file
g++ -c src/main.cpp -I HElib/src -o objects/main.o
- Compile the objects into hbc
g++ objects/*.o HElib/src/fhe.a -o hbc -L/usr/local/lib -lntl -lgmp -lm
- Create the directory objects
- With the Makefile provided (compatible will all platforms).
- Run hbc
- Run it with
./hbc
(Careful about having enough RAM) - You can also build it and run the new build with
make hbcNrun
- Run it with
- To run the default hbc program, you need at least 3GB of RAM.
- This is because the average operation (arithmetic tests) uses about 2GB of RAM for 2 bits.
- Note that you can comment it out in the main.cpp or TEST_ARITHMETIC.cpp and stick to tests of simpler circuits such as the multiplication which only require about 0.7 - 1GB of RAM.
- For Vagrant, you can modify the amount of RAM in the vb.memory field,
which is set to 2600MB by default. To monitor the RAM usage, open a new
host terminal, go to the working directory and use
vagrant ssh -c htop
.
- By default, the Vagrant VM uses 2 cores of your CPU (vb.cpus = 2) so that
you can run hbc and also monitor the RAM with another
vagrant ssh
. - You can also run more instances of hbc if you have more than two cores available.
With Vagrant, just set vb.cpus to 3 for example, log in with
vagrant ssh
on different host terminals and run hbc (provided you have enough RAM to run both obviously).
In a terminal on your host machine, enter:
docker image rm qmcgaw/homomorphic-binary-circuits
Then delete the hbc repository on your host machine
In a terminal on your host machine, enter:
vagrant destroy
Then delete the hbc repository on your host machine
Use the makefile and run make deepclean
which uninstalls and delete:
- hbc
- src directory
- HElib, NTL, GMP Only the makefile will remain in the folder.
Credits to Shai Halevi for HElib obviously and thanks for the quick help tips in the Issues section!
Thanks to Dr. Wei Dai (Imperial College London) for introducing me to homomorphic encryption
Thanks to Christian Bodt (Coinplus) for teaching me the basics of cryptography and security, as well as useful coding skills.
Thanks to Alexandra Rouhana for her useful discussions that helped me figure out how to overcome some design restrictions.
Thanks to Wei Dai from the Vernam Group at Worcester Polytechnic Institute for keeping me updated with the status of CuHE.
Thanks to my dad, mother and step-mother for their continuous support throughout my studies.
You're welcome to contribute to this repository if you find any better circuits or other circuits and implement them.
Just send me an email (see my address at the start) and I will add you as a contributor.
Please create an issue on the repository if you have an issue or question. Thanks !
- Use *= instead of multiplyBy when the level is very low as it is faster. multiplyBy uses relinearization which serves to reduce the size of ciphertexts. This is great for complex circuits but takes a longer time than *= for simple circuits.
- Add circuits from here to the core API he.cpp.
- Other ideas are in chapter 9: Future work of my report.