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 IntelligenceMachine LearningANNsCryptographyAESRSALWEASCON.
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
No rights reserved
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},
      note = {\url{https://eprint.iacr.org/2023/1939}},
      url = {https://eprint.iacr.org/2023/1939}
}
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