Survey on AI-Enhanced Chaotic Key Generation for Public Key Cryptography

According to recent trends, integrating chaotic systems with artificial intelligence (AI) may be a promising way to improve cryptographic key generation, especially in public key cryptography.. This survey paper provides the tools used in chaosbased key generation augmented by AI. It includes recent technological developments, the basic ideas behind these approaches and real-world applications. Because they produce extremely random and difficult-to-guess keys, other AI models like neural networks and reinforcement learning improve the functionality of chaotic maps.. Other contemporary issues discussed in the paper include the real-time use of the methods, clarity in their decisions, quantum attack protection, and standards. In short, employing AI to enhance chaotic systems sounds like a powerful way to produce public key cryptography, but there continue to be some significant challenges to solve, like potentiality the system is simple to understand, guarantee it creates well, and master it prepared for genuine use.

Authors

Publication Details

Journal
International Journal for Research in Applied Science and Engineering Technology
Published
2025-08-31
DOI
https://doi.org/10.22214/ijraset.2025.73885
Primary Topic
Chaos-based Image/Signal Encryption
Type
article
Field-Weighted Citation Impact
0.00
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article

Survey on AI-Enhanced Chaotic Key Generation for Public Key Cryptography

A. Kumar
International Journal for Research in Applied Science and Engineering Technology
Chaos-based Image/Signal Encryption
article

Survey on AI-Enhanced Chaotic Key Generation for Public Key Cryptography

A. Kumar
article en

Abstract

According to recent trends, integrating chaotic systems with artificial intelligence (AI) may be a promising way to improve cryptographic key generation, especially in public key cryptography.. This survey paper provides the tools used in chaosbased key generation augmented by AI. It includes recent technological developments, the basic ideas behind these approaches and real-world applications. Because they produce extremely random and difficult-to-guess keys, other AI models like neural networks and reinforcement learning improve the functionality of chaotic maps.. Other contemporary issues discussed in the paper include the real-time use of the methods, clarity in their decisions, quantum attack protection, and standards. In short, employing AI to enhance chaotic systems sounds like a powerful way to produce public key cryptography, but there continue to be some significant challenges to solve, like potentiality the system is simple to understand, guarantee it creates well, and master it prepared for genuine use.

International Journal for Research in Applied Science and Engineering TechnologyVol. 13(8)
Openalex Percentile: Top 78%
Chaos-based Image/Signal Encryption
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