# My First Function

This documentation will guide you through executing your first function on the Teaclave platform.

# Prerequisites

To run Teaclave, a hardware with Intel SGX support is needed. You can check with this list of supported hardware. Note that you sometimes need to configure BIOS to enable SGX. Additionally, you need to install driver and platform software to run SGX applications. If you are using Azure confidential computing VM, please refer to this document. Otherwise, let install SGX driver first.

$ wget https://download.01.org/intel-sgx/sgx-linux/2.11/distro/ubuntu18.04-server/sgx_linux_x64_driver_2.6.0_b0a445b.bin
$ sudo ./sgx_linux_x64_driver_2.6.0_b0a445b.bin
$ ls /dev/isgx    # Make sure you have the SGX device

Then, install SGX architectural enclaves and quoting libraries for attestation.

$ sudo apt-get install libssl-dev libcurl4-openssl-dev libprotobuf-dev
$ echo 'deb [arch=amd64] https://download.01.org/intel-sgx/sgx_repo/ubuntu bionic 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-get update && \
   sudo apt-get install libsgx-launch libsgx-urts libsgx-epid libsgx-urts libsgx-quote-ex  libsgx-aesm-quote-ex-plugin libsgx-aesm-epid-plugin

For more details, you can learn from Intel SGX Installation Guide.

Docker and Docker Compose are also needed for building and trying Teaclave.

$ curl -fsSL https://download.docker.com/linux/ubuntu/gpg | sudo apt-key add -
$ sudo add-apt-repository \
   "deb [arch=amd64] https://download.docker.com/linux/ubuntu \
   $(lsb_release -cs) \
$ sudo apt-get update && sudo apt-get install docker-ce docker-ce-cli containerd.io
$ sudo usermod -aG docker your-user-name
$ sudo curl -L "https://github.com/docker/compose/releases/download/1.27.4/docker-compose-$(uname -s)-$(uname -m)" -o /usr/local/bin/docker-compose
$ sudo chmod +x /usr/local/bin/docker-compose

If you don't have an SGX supported hardware at hand, Teaclave can also run in simulation mode. However some functions like remote attestation will be disabled in this mode. Please start from here if you plan to try in simulation mode.

# Clone and Build Teaclave

Clone the Teaclave repository:

$ git clone https://github.com/apache/incubator-teaclave.git

Since the building dependencies are a bit complicated, we suggest to build the Teaclave platform with our docker images. You can learn more details about the building environment from Dockerfile under the docker directory.

Build the Teaclave platform using docker:

$ cd incubator-teaclave
$ docker run --rm -v $(pwd):/teaclave -w /teaclave \
  -it teaclave/teaclave-build-ubuntu-1804-sgx-2.17.1:0.2.0 \
   bash -c ". /root/.cargo/env && \
     . /opt/sgxsdk/environment && \
     mkdir -p build && cd build && \
     cmake -DTEST_MODE=ON .. && \
     make -j"

# Setup Attestation Service

For simplicity, we use Intel Attestation Service (IAS) in this tutorial. To get started, you need to enroll in Intel SGX Attestation Service in Intel's attestation service portal by subscribing the attestation service for development (linkable is preferred). Then, you can find "SPID" and "Primary key" in the subscription details for later usage.

There is one more setup if you are using linkable attestation service subscription. Edit the /etc/aesmd.conf file and uncomment the default quoting type = epid_linkable line to enable linkable quotes for EPID-based attestation service (i.e., Intel Attestation Service). At last, the AESM service needs to be restarted by sudo systemctl restart aesmd.

$ sudo sed -i '/^#default quoting type = epid_linkable/s/^#//' /etc/aesmd.conf
$ sudo service aesmd restart

# Launch Teaclave Services

Teaclave contains multiple services. To ease the deployment, you can use docker-compose to manage all services in a containerized environment.

Setup environment variables:

$ export AS_SPID="00000000000000000000000000000000"  # SPID from IAS subscription
$ export AS_KEY="00000000000000000000000000000000"   # Primary key/Secondary key from IAS subscription
$ export AS_ALGO="sgx_epid"                          # Attestation algorithm, sgx_epid for IAS
$ export AS_URL="https://api.trustedservices.intel.com:443"    # IAS URL

Launch all services with docker-compose:

$ (cd docker && ./run-teaclave-services.sh)
Starting teaclave-authentication-service ... done
Starting teaclave-access-control-service ... done
Starting teaclave-scheduler-service      ... done
Starting teaclave-management-service     ... done
Starting teaclave-execution-service      ... done
Starting teaclave-frontend-service       ... done
Attaching to ...

# Invoke Function

We provide several examples to demonstrate the platform. Let's get started with invoking a built-in function: ordered-set-intersect, which is a function that takes two ordered sets and returns the intersection set in the output files. This function is a kind of PSI implementation based on TEE.

This example is written in Python, and some dependencies are needed for the remote attestation. They can be installed with pip:

$ pip3 install pyopenssl toml cryptography grpcio grpcio-tools grpclib

# Built-in function

Then, run the PSI example:

$ cd examples/python
$ PYTHONPATH=../../sdk/python python3 builtin_ordered_set_intersect.py 
[+] user0 login
[+] user1 login
[+] user0 registering function
[+] user0 creating task
[+] user0 registering input file
[+] user0 registering output file
[+] user0 assigning data to task
[+] user1 registering input file
[+] user1 registering output file
[+] user1 assigning data to task
[+] user0 approving task
[+] user1 approving task
[+] user0 invoking task
[+] user0 getting task result
[+] user1 getting task result
[+] User 0 result: 3 common items
[+] User 1 result: 3 common items

If you see above log, this means that the function is successfully invoked in Teaclave. The intersection set is stored in the output files that the users registered.

# Define my own function

The previous example is to demonstrate invoking the built-in PSI function. In Teaclave, you can also register and invoke a function written by yourself. For example, we have implemented a logistic regression function in Python in mesapy_logistic_reg_payload.py. It can conduct both training and prediction.

Then run the mesapy LR example:

$ PYTHONPATH=../../sdk/python python3 mesapy_logistic_reg.py
[+] mesapy_logistic_reg_train_task begin!
[+] admin login
[+] admin registering function
[+] admin reading payload file
[+] admin creating task
[+] admin registering input file
[+] admin registering output file
[+] admin assigning data to task
[+] admin invoking task
[+] admin getting task result
[+] User 0 result: Training is finished!
[+] mesapy_logistic_reg_predict_task begin!
[+] admin registering function
[+] admin reading payload file
[+] admin creating task
[+] admin getting task output
[+] admin getting task output
[+] admin registering input file
[+] admin registering output file
[+] admin assigning data to task
[+] admin invoking task
[+] admin getting task result
[+] Predict result: [1.0 1.0 0.0 0.0 0.0]
[+] logistic_reg_task end!

# Simulation Mode

Clone and build Teaclave (with the -DSGX_SIM_MODE=ON option in cmake). Note that if you are using Docker for Mac, increase the size of allocated memory to avoid compilation error caused by out-of-memory, e.g., reporting a "signal: 9, SIGKILL: kill" error during the compilation.

$ git clone https://github.com/apache/incubator-teaclave.git
$ cd incubator-teaclave
$ docker run --rm -v $(pwd):/teaclave -w /teaclave \
  -it teaclave/teaclave-build-ubuntu-1804-sgx-2.17.1:0.2.0 \
   bash -c ". /root/.cargo/env && \
     . /opt/sgxsdk/environment && \
     mkdir -p build && cd build && \
     cmake -DTEST_MODE=ON -DSGX_SIM_MODE=ON .. && \
     make -j"

Since the attestation is disabled in the simulation mode, related environment variables can be set to any values.

$ export AS_SPID="00000000000000000000000000000000"
$ export AS_KEY="00000000000000000000000000000000"
$ export AS_ALGO="sgx_epid"
$ export AS_URL="https://api.trustedservices.intel.com:443"

At last, launch all services with docker-compose:

$ (cd docker && ./run-teaclave-services.sh -m sim)

In simulation mode, run the echo example with SGX_MODE=SW environment variable.

$ cd examples/python
$ SGX_MODE=SW PYTHONPATH=../../sdk/python python3 builtin_echo.py 'Hello, Teaclave!'
[+] registering user
[+] login
[+] registering function
[+] creating task
[+] approving task
[+] invoking task
[+] getting result
[+] done
[+] function return:  b'Hello, Teaclave!'
Last Updated: 6/9/2023, 2:42:29 AM