Machine Learning in Chaos-Based Encryption: Theory, Implementations, and Applications

Machine Learning in Chaos-Based Encryption: Theory, Implementations, and Applications

Chaos-based encryption is a promising approach to secure communication due to its complexity and unpredictability. However, various challenges lie in the design and implementation of efficient, low-power, attack-resistant chaos-based encryption schemes with high encryption and decryption rates. In a...

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Bibliographic Details
Main Authors: Jinha Hwang, Gauri Kale, Persis Premkumar Patel, Rahul Vishwakarma, Mehrdad Aliasgari, Ava Hedayatipour, Amin Rezaei, Hossein Sayadi
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Quantum computing
quantum-safe
chaos
chaotic map
encryption
side channel attacks
Online Access:https://ieeexplore.ieee.org/document/10311558/

Internet

https://ieeexplore.ieee.org/document/10311558/

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