Applications of Neural Network-Based AI in Cryptography

Autor: Abderrahmane Nitaj, Tajjeeddine Rachidi
Jazyk: angličtina
Rok vydání: 2023
Předmět:
Zdroj: Cryptography, Vol 7, Iss 3, p 39 (2023)
Druh dokumentu: article
ISSN: 2410-387X
DOI: 10.3390/cryptography7030039
Popis: 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.
Databáze: Directory of Open Access Journals
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