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estraces-1.9.2


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توضیحات

Traces and trace header set Python library for side-channel analysis.
ویژگی مقدار
سیستم عامل -
نام فایل estraces-1.9.2
نام estraces
نسخه کتابخانه 1.9.2
نگهدارنده []
ایمیل نگهدارنده []
نویسنده eshard
ایمیل نویسنده estraces@eshard.com
آدرس صفحه اصلی https://gitlab.com/eshard/estraces
آدرس اینترنتی https://pypi.org/project/estraces/
مجوز -
# estraces - Traces and trace sets Python library for side-channel attacks [![pipeline status](https://gitlab.com/eshard/estraces/badges/master/pipeline.svg)](https://gitlab.com/eshard/estraces/commits/master) [![PyPI version](https://badge.fury.io/py/estraces.svg)](https://pypi.org/project/estraces/) [![Conda installer](https://anaconda.org/eshard/estraces/badges/installer/conda.svg)](https://anaconda.org/eshard/estraces) [![Latest Conda release](https://anaconda.org/eshard/estraces/badges/latest_release_date.svg)](https://anaconda.org/eshard/estraces) estraces is a Python library to manipulate side-channel trace sets. It aims at giving a clear and uniform API to handle traces samples and metadata for various persistency and file formats. It uses [Numpy](https://www.numpy.org) to handle data. estraces was originally developped and maintain by [eshard](https://www.eshard.com), and is heavily used in the open-source side-channel analysis framework. ## Getting started ### Requirements and installation estraces requires and must work on Python **3.6**, **3.7**, **3.8**, **3.9** versions. Python 3.6 is outdated now [EOL date](https://endoflife.date/python) You can install it by several ways: - from source - with `pip` - with `conda` >At time of writing, we highly recommend to install from `conda` when using `estraces` with **python 3.8**. #### Installing from source To install estraces from source, you will need the following requirements: - `pip` and `setuptools` with version greater than **40.0** - For Python **3.8**, you'll need to build and install `h5py` from source see [H5PY installation instructions](https://h5py.readthedocs.io/en/latest/build.html#source-installation) before installing `estraces` From the source code folder, run: ```python pip install . ``` #### Installing with `pip` First, you should update your `pip` and `setuptools` version: ```bash pip install -U pip setuptools ``` If you use **Python 3.8** or above, you must first build and install `h5py`, [see instructions](https://h5py.readthedocs.io/en/latest/build.html#source-installation). ```bash pip install estraces ``` #### Installing with `conda` To install from `conda`, simply run: ```bash conda install -c eshard estraces ``` ### Opens a trace set If you have a trace set as binary files, you can get a trace header set by using the binary reader: ```python # First import the lib import estraces # We suppose the binary files are under traces/ and are named something.bin my_traces = estraces.read_ths_from_bin_filenames_pattern( 'traces/*.bin', # First indicate the filename pattern for the bin file dtype='uint8', # Indicate the numpy dtype of the data metadatas_parsers={} # This dict allows to associate metadata ) ``` You can then read your samples: ```python # This will return the data for the first 100 traces my_traces.samples[:100] # This will return the frame 0 - 1000 of all the traces as a numpy array my_traces.samples[:, :1000] # You can iterate on traces for trace in my_traces: # do something ``` ## Documentation To go further and learn all about estraces, please go to [the full documentation](https://eshard.gitlab.io/estraces). ## Contributing All contributions, starting with feedbacks, are welcomed. Please read [CONTRIBUTING.md](CONTRIBUTING.md) if you wish to contribute to the project. ## License This library is licensed under LGPL V3 license. See the [LICENSE](LICENSE) file for details. It is mainly intended for non-commercial use, by academics, students or professional willing to learn the basics of side-channel analysis. If you wish to use this library in a commercial or industrial context, eshard provides commercial licenses under fees. Contact us! ## Authors See [AUTHORS](AUTHORS.md) for the list of contributors to the project.


نیازمندی

مقدار نام
- numpy
- h5py
- psutil
==0.3.2 trsfile
- trsfile


زبان مورد نیاز

مقدار نام
>=3.6.0 Python


نحوه نصب


نصب پکیج whl estraces-1.9.2:

    pip install estraces-1.9.2.whl


نصب پکیج tar.gz estraces-1.9.2:

    pip install estraces-1.9.2.tar.gz