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Automated cryptographic classification framework using Intel'sPin platform for dynamic binary instrumentation andPyTorch for deep learning.

• Clone Repository
• Required Python libraries:sudo apt-get install python-pip python-tk
• Install requirements:pip install -r requirements.txt
• Install toolkit:python knight.py --setup
• Binary compilation requiresOpenSSL:sudo apt install libssl-dev

Automatically draw distribution:

python crypto.py -d scale

Evaluatation:

python knight.py --predict <executable>python knight.py --evaluate <dataset>

To add custom cryptographic samples to the generation pool, please follow theFormat Specification.

We also published "CryptoKnight: Generating and Modelling Compiled Cryptographic Primitives" that can be foundhere in Open Access.

If you want to cite the paper please use the following format;

@Article{info9090231,AUTHOR = {Hill, Gregory and Bellekens, Xavier},TITLE = {CryptoKnight: Generating and Modelling Compiled Cryptographic Primitives},JOURNAL = {Information},VOLUME = {9},YEAR = {2018},NUMBER = {9},ARTICLE NUMBER = {231},URL = {http://www.mdpi.com/2078-2489/9/9/231},ISSN = {2078-2489},DOI = {10.3390/info9090231}}