Applications of Neural Network-Based AI in Cryptography

IF 1.8 Q3 COMPUTER SCIENCE, INFORMATION SYSTEMS Cryptography Pub Date : 2023-08-11 DOI:10.3390/cryptography7030039
Abderrahmane Nitaj, T. Rachidi
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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.
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基于神经网络的人工智能在密码学中的应用
人工智能(AI)是一种现代技术,在日常生活中具有许多优势,如预测天气、寻找方向、对图像和视频进行分类,甚至自动生成代码、文本和视频。区块链和网络安全等其他重要技术也受益于人工智能。作为区块链和互联网安全的核心组件,密码学可以受益于人工智慧,以增强网络空间的机密性和完整性。在本文中,我们回顾了四个著名密码系统的算法,即高级加密标准、Rivest–Shamir–Adleman、带错误学习和用于身份验证加密的Ascon密码算法家族。在可能的情况下,我们会确定人工智能可以用来帮助提高其安全性的领域。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Cryptography
Cryptography Mathematics-Applied Mathematics
CiteScore
3.80
自引率
6.20%
发文量
53
审稿时长
11 weeks
期刊最新文献
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