Paper 2020/981 Original: eprint.iacr.org/2020/981 ↗

Deep Learning based analysis of Key Scheduling Algorithm of PRESENT cipher

Manan Pareek
Dr. Girish Mishra
Varun Kohli
Abstract

The lightweight block cipher PRESENT has become viable for areas like IoT (Internet of Things) and RFID tags, due to its compact design and low power consumption, while providing a sufficient level of security for the aforementioned applications. However, the key scheduling algorithm of a cipher plays a major role in deciding how secure it is. In this paper we test the strength of the key scheduling algorithm (KSA) of the 80-bit key length variant of PRESENT by attempting to retrieve the main key register from the final round key register, using deep learning.

Metadata
Available format(s)
PDF
Category
Public-key cryptography
Publication info
Preprint.
History
2020-08-19: last updated
2020-08-18: published
Short URL
https://ia.cr/2020/981
License
https://creativecommons.org/licenses/by/4.0/

BibTeX

@misc{cryptoeprint:2020/981,
      author = {Manan Pareek and Dr.  Girish Mishra and Varun Kohli},
      title = {Deep Learning based analysis of Key Scheduling Algorithm of PRESENT cipher},
      howpublished = {Cryptology {ePrint} Archive, Paper 2020/981},
      year = {2020},
      url = {https://eprint.iacr.org/2020/981}
}
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