Deep Learning Based Analysis of Key Scheduling Algorithm of Advanced Ciphers

Narendra Kumar Patel; Hemraj Shobharam Lamkuche

Paper 2024/272

Deep Learning Based Analysis of Key Scheduling Algorithm of Advanced Ciphers

Narendra Kumar Patel

, VIT Bhopal University (466114 M.P. India)

Hemraj Shobharam Lamkuche

, VIT Bhopal University (466114 M.P. India)

Abstract

The advancements in information technology have made the Advanced Encryption Standard (AES) and the PRESENT cipher indispensable in ensuring data security and facilitating private transactions. AES is renowned for its flexibility and widespread use in various fields, while the PRESENT cipher excels in lightweight cryptographic situations. This paper delves into a dual examination of the Key Scheduling Algorithms (KSAs) of AES and the PRESENT cipher, which play a crucial role in generating round keys for their respective encryption techniques. By implementing deep learning methods, particularly a Neural Network model, our study aims to unravel the complexities of these KSAs and shed light on their inner workings.

Metadata

Available format(s): PDF
Category: Attacks and cryptanalysis
Publication info: Preprint.
Keywords: AES PRESENT Deep Learning Neural Network Key Scheduling Algorithm
Contact author(s): narendra k91630 @ gmail com
hemraj lamkuche @ gmail com
History: 2024-02-26: revised; 2024-02-18: received; See all versions
Short URL: https://ia.cr/2024/272
License: CC0

BibTeX

@misc{cryptoeprint:2024/272,
      author = {Narendra Kumar Patel and Hemraj Shobharam Lamkuche},
      title = {Deep Learning Based Analysis of Key Scheduling Algorithm of Advanced Ciphers},
      howpublished = {Cryptology ePrint Archive, Paper 2024/272},
      year = {2024},
      note = {\url{https://eprint.iacr.org/2024/272}},
      url = {https://eprint.iacr.org/2024/272}
}