Comparative Analysis of ResNet and DenseNet for Differential Cryptanalysis of SPECK 32/64 Lightweight Block Cipher

Ayan Sajwan; Girish Mishra

Paper 2023/1290

Comparative Analysis of ResNet and DenseNet for Differential Cryptanalysis of SPECK 32/64 Lightweight Block Cipher

Ayan Sajwan

, Delhi Technological University

Girish Mishra

, Scientific Analysis Group

Abstract

This research paper explores the vulnerabilities of the lightweight block cipher SPECK 32/64 through the application of differential analysis and deep learning techniques. The primary objectives of the study are to investigate the cipher’s weaknesses and to compare the effectiveness of ResNet as used by Aron Gohr at Crypto2019 and DenseNet . The methodology involves conducting an analysis of differential characteristics to identify potential weaknesses in the cipher’s structure. Experimental results and analysis demonstrate the efficacy of both approaches in compromising the security of SPECK 32/64.

Metadata

Available format(s): PDF
Category: Attacks and cryptanalysis
Publication info: Preprint.
Keywords: Cryptography Differential Cryptanalysis Deep Learning Speck ResNet DenseNet
Contact author(s): ayansajwan2003 @ gmail com
gmishratech28 @ gmail com
History: 2023-08-29: approved; 2023-08-28: received; See all versions
Short URL: https://ia.cr/2023/1290
License: CC BY

BibTeX

@misc{cryptoeprint:2023/1290,
      author = {Ayan Sajwan and Girish Mishra},
      title = {Comparative Analysis of {ResNet} and {DenseNet} for Differential Cryptanalysis of {SPECK} 32/64 Lightweight Block Cipher},
      howpublished = {Cryptology {ePrint} Archive, Paper 2023/1290},
      year = {2023},
      url = {https://eprint.iacr.org/2023/1290}
}