Joint optimization-encryption model based on auto encoder neural network, variable-length dynamic S-box and new stream encryption
DOI10.1142/S0218127422502327zbMATH Open1540.94066MaRDI QIDQ6537551
Xiaoxue Gong, Anqi Hu, Lei Guo
Publication date: 14 May 2024
Published in: International Journal of Bifurcation and Chaos in Applied Sciences and Engineering (Search for Journal in Brave)
auto encoder neural networkjoint optimization-encryptionnew stream encryptionvariable-length dynamic S-box
Artificial neural networks and deep learning (68T07) Cryptography (94A60) Data encryption (aspects in computer science) (68P25)
Cites Work
- Secure image encryption algorithm design using a novel chaos based S-Box
- The unified image encryption algorithm based on chaos and cubic S-box
- On the security analysis of a Hopfield chaotic neural network-based image encryption algorithm
- Communication Theory of Secrecy Systems*
- Privacy-Aware Image Encryption Based on Logistic Map and Data Hiding
- A Novel Algorithm for Detection and Localization of Periodic Phenomena of Chaotic Binary Sequences
- A Method for the Construction of Minimum-Redundancy Codes
This page was built for publication: Joint optimization-encryption model based on auto encoder neural network, variable-length dynamic S-box and new stream encryption
Report a bug (only for logged in users!)Click here to report a bug for this page (MaRDI item Q6537551)
