电磁采矿阵列，一种在密码学背景下 对电磁辐射进行分布式分析的工具_python_代码_下载

# ElectroMagnetic Mining Array (EMMA) EMMA is a framework for capturing and attacking traces of electromagnetic radiation emitted by an electronic device, in order to obtain encryption keys or other sensitive data. ## Installation The recommended way of installing EMMA is via `venv`: ```bash $ cd <emma_root_directory> $ python -m venv env $ source env/bin/activate $ pip install -r requirements.txt $ emma.py -h ``` ## Configuration Two config files should be added to the EMMA root directory: `settings.conf` and `datasets.conf`. ### `settings.conf` #### Example configuration ``` [Network] broker = redis://:password@redisserver:6379/0 backend = redis://:password@redisserver:6379/0 [Datasets] datasets_path = /home/user/my-dataset-directory/ stream_interface = eth0 [EMMA] remote = True ``` ### `datasets.conf` #### Example configuration ``` # Custom dataset (train) [em-corr-arduino] format=cw reference_index=0 # Custom dataset (test) [em-cpa-arduino] format=cw reference_index=0 # ASCAD database [ASCAD] format=ascad reference_index=0 ``` ## Getting started Although EMMA can run on a single machine, ideally at least two machines should be used to perform an analysis: a master (low-end device for sending commands) and one or more slaves (high-end devices for performing calculations). At least one device must have `redis` installed and configured. Before continuing, make sure this device is listed as the backend in `settings.conf` (see above). On each slave that should perform computations, run the following command to automatically spawn worker processes for each available CPU: ``` $ celery -A emma_worker worker -l info -Q celery,priority.high ``` Note that each slave should be able to access the datasets listen in `datasets.conf`. Now, the master can issue commands to process these datasets. ``` $ emma.py plot ASCAD:Profiling_traces ``` Most ops can be executed locally (without distributing tasks to worker nodes): ``` $ emma.py plot ASCAD:Profiling_traces --local ``` See `emma.py -h` for a full list of available commands. ## EMcap EMcap is a tool that allows for convenient capturing and storage of EM trace datasets using Software Defined Radios (SDRs). See `emcap.py -h` for a full list of available commands. ## Running tools ```bash $ cd <emma_root_directory> $ PYTHONPATH=. tools/visualize_dataset.py em-cpa-arduino ``` ## Citing If this project was helpful to you and you wish to credit the project, you could list the following citation in your work: Robyns, P., Quax, P. and Lamotte, W. 2018. Improving CEMA using Correlation Optimization. IACR Transactions on Cryptographic Hardware and Embedded Systems. 2019, 1 (Nov. 2018), 1-24. DOI:https://doi.org/10.13154/tches.v2019.i1.1-24.