Applications of Neural Network-Based AI in Cryptography

Abderrahmane Nitaj; Tajjeeddine Rachidi

Paper 2023/1939

Applications of Neural Network-Based AI in Cryptography

Abderrahmane Nitaj

, Normandie Univ, UNICAEN, CNRS, LMNO, 14000 Caen, France

Tajjeeddine Rachidi, School of Science and Engineering, Alakhawayn University in Ifrane, Morocco

Abstract

Artificial intelligence (AI) is a modern technology that allows plenty of advantages in daily life, such as predicting weather, finding directions, classifying images and videos, even automatically generating code, text, and videos. Other essential technologies such as blockchain and cybersecurity also benefit from AI. As a core component used in blockchain and cybersecurity, cryptography can benefit from AI in order to enhance the confidentiality and integrity of cyberspace. In this paper, we review the algorithms underlying four prominent cryptographic cryptosystems, namely the Advanced Encryption Standard, the Rivest--Shamir--Adleman, Learning With Errors, and the Ascon family of cryptographic algorithms for authenticated encryption. Where possible, we pinpoint areas where AI can be used to help improve their security.

Metadata

Available format(s): PDF
Category: Applications
Publication info: Published elsewhere. Minor revision. Cryptography 2023, 7(3), 39
DOI: 10.3390/cryptography7030039
Keywords: Artificial Intelligence Machine Learning ANNs Cryptography AES RSA LWE ASCON.
Contact author(s): abderrahmane nitaj @ unicaen fr
T Rachidi @ aui ma
History: 2023-12-21: approved; 2023-12-21: received; See all versions
Short URL: https://ia.cr/2023/1939
License: CC0

BibTeX

@misc{cryptoeprint:2023/1939,
      author = {Abderrahmane Nitaj and Tajjeeddine Rachidi},
      title = {Applications of Neural Network-Based {AI} in Cryptography},
      howpublished = {Cryptology {ePrint} Archive, Paper 2023/1939},
      year = {2023},
      doi = {10.3390/cryptography7030039},
      url = {https://eprint.iacr.org/2023/1939}
}