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Commit 0f8b7efd authored by Indrakanti Aishwarya's avatar Indrakanti Aishwarya
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Update README.md

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......@@ -8,11 +8,15 @@ This repository contains supporting code for the paper:
Improving the security of LCB block cipher against Deep Learning-based attacks
There are 4 seperate folders in this repository:
There are 5 seperate folders in this repository:
LBC-IoT_Github - contains files used to train the deep learning model as a distinguisher for LBC-IoT
SLIM_Github - contains files used to train the deep learning model as a distinguisher for SLIM
LBC-IoT-Key-Recovery - contains files to run a key ranking attack on LBC-IoT
NIST - contains file to run a data generation code for Secure LCB for analysis of NIST statistical tests.
NIST - contains file to run a data generation code for Secure LCB for analysis of NIST statistical tests
Difference - contains .py files to be used with AutoND's repository
Each of the folders contains a Jupyter Notebook which can be used to run the respective programs.
The input difference for the ciphers has been calculated using https://github.com/Crypto-TII/AutoND
The deep learning model used in this work is taken from Gohr's work and some of the code are adapted from https://github.com/agohr/deep_speck
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