Paper 2023/1939 Original: eprint.iacr.org/2023/1939 ↗
Applications of Neural Network-Based AI in Cryptography
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
- Preprint.
- History
- 2023-12-21: last updated
- 2023-12-21: published
- Short URL
- https://ia.cr/2023/1939
- License
- https://creativecommons.org/publicdomain/zero/1.0/
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},
url = {https://eprint.iacr.org/2023/1939}
}