Deep Learning based Differential Classifier of PRIDE and RC5

Debranjan Pal; Upasana Mandal; Abhijit Das; Dipanwita Roy Chowdhury

Paper 2023/461

Deep Learning based Differential Classifier of PRIDE and RC5

Debranjan Pal, Indian Institute of Technology Kharagpur

Upasana Mandal, Indian Institute of Technology Kharagpur

Abhijit Das

, Indian Institute of Technology Kharagpur

Dipanwita Roy Chowdhury, Indian Institute of Technology Kharagpur

Abstract

Deep learning-based cryptanalysis is one of the emerging trends in recent times. Differential cryptanalysis is one of the most po- tent approaches to classical cryptanalysis. Researchers are now modeling classical differential cryptanalysis by applying deep learning-based tech- niques. In this paper, we report deep learning-based differential distin- guishers for block cipher PRIDE and RC5, utilizing deep learning models: CNN, LGBM and LSTM. We found distinguishers up to 23 rounds for PRIDE and nine rounds for RC5. To the best of our knowledge this is the first deep learning based differential classifier for cipher PRIDE and RC5.

Metadata

Available format(s): PDF
Category: Attacks and cryptanalysis
Publication info: Published elsewhere. ATIS 2023
Keywords: Deep Learning Block Cipher Differential Cryptanalysis Neural Distinguisher PRIDE RC5
Contact author(s): debranjan crl @ gmail com
mandal up98 @ gmail com
abhij @ cse iitkgp ac in
drc @ cse iitkgp ac in
History: 2023-03-31: approved; 2023-03-30: received; See all versions
Short URL: https://ia.cr/2023/461
License: CC BY-NC

BibTeX

@misc{cryptoeprint:2023/461,
      author = {Debranjan Pal and Upasana Mandal and Abhijit Das and Dipanwita Roy Chowdhury},
      title = {Deep Learning based Differential Classifier of PRIDE and RC5},
      howpublished = {Cryptology ePrint Archive, Paper 2023/461},
      year = {2023},
      note = {\url{https://eprint.iacr.org/2023/461}},
      url = {https://eprint.iacr.org/2023/461}
}