SGX based mix-networks

Hidden anonymization with Intel SGX based mixes

How to execute

• The first requirement needed to run our solution is to have installed the SGX drivers and SDK:

  $ sudo apt install build-essential ocaml automake autoconf libtool wget python3 libssl-dev dkms
  $ wget https://download.01.org/intel-sgx/latest/linux-latest/distro/ubuntu20.04-server/sgx_linux_x64_driver_1.41.bin; sudo bash sgx_linux_x64_driver_1.41.bin
  
  $ sudo apt install libssl-dev libcurl4-openssl-dev libprotobuf-dev
  $ echo 'deb [arch=amd64] https://download.01.org/intel-sgx/sgx_repo/ubuntu focal main' | sudo tee /etc/apt/    sources.list.d/intel-sgx.list
  $ wget -qO - https://download.01.org/intel-sgx/sgx_repo/ubuntu/intel-sgx-deb.key | sudo apt-key add -
  $ sudo apt update
  $ sudo apt install libsgx-launch libsgx-urts
  $ sudo apt install libsgx-epid libsgx-urts
  
  $ wget https://download.01.org/intel-sgx/latest/linux-latest/distro/ubuntu20.04-server/sgx_linux_x64_sdk_2.13.103.1.bin; sudo bash sgx_linux_x64_sdk_2.13.103.1.bin             # answer no and choose /opt/intel
  # then, copy the contents of the file /opt/intel/sgxsdk/environment to your .bashrc
  
  $ wget https://download.01.org/intel-sgx/latest/linux-latest/as.ld.objdump.gold.r3.tar.gz
  $ tar xzvf as.ld.objdump.gold.r3.tar.gz external/toolset/ubuntu20.04
  $ sudo cp -v external/toolset/ubuntu20.04/* /usr/local/bin/

• After that, you should change your terminal directory to the directory mix_solution/ of this repository.

• Then, you have also to set the Python virtual environment and install the needed requirements:

  $ cd consumer_producer/
  $ virtualenv venv
  $ source venv/bin/activate
  
  $ pip install -r requirements.txt

• Finally, open two terminals, one in the directory mix_solution/ and the other on the directory mix_solution/consumer_producer/, and run:

  # on the mix_solution/consumer_producer/, first enter the virtual environment (source venv/bin/activate)
  $ python3 server.py <minimum_number_of_mixes> <number_of_messages>                 # for example, "python3 server.py 100 10000" will create a consumer/producer that will wait for the public keys of 100 different mixes before starting to send the messages to the network, and will send a total of 10000 messages
  
  # on the mix_solution/
  $ make
  $ ./run_multiple.sh <number_of_mixes>                                                   # for example, "./run_multiple 100" will run create a network of 100 mixes

  • Note that you must run the Python server first and just after it is running is when you can run the script that will create the mix network.

  • You can check the mixes logs on the directory logs/.

• You can also run each mix (node) for yourself without the need of the script run_multiple.sh. For that, you just have to run:

  $ make
  $ ./app <mix_port> <prev_mix_port> <next_mix_port> <consumer_producer_port>        # where <mix_port> is the port you want your mix to run on, the <prev_mix_port> is the port where is running the previous mix, the <next_mix_port> is the port where is running the next mix and the <consumer_producer_port> is where is running the Python consumer/producer