Inicio
Explorar
nav.journalClub
Tendencias
Más
synapse
⌘+K
Idioma
Español
Español
Neural cryptography: Synergy and conflict between neural networks and cryptographic systems | Synapse
March 3, 2026
Neural cryptography: Synergy and conflict between neural networks and cryptographic systems
YZ
Yue Zhong
JG
Jieming Gu
XY
Xiangzhan Yu
Puntos clave
Neural networks can enhance cryptographic systems through advanced encryption algorithms, improving data security.
Conflict arises when neural networks compromise the integrity of cryptographic methods, leading to vulnerabilities in data protection.
Analysis of neural network behavior helps understand how they can synergize with cryptographic systems for better security.
The implications of this interplay suggest ongoing research is needed to balance efficiency and security in digital communications.
Mark Helpful
Me gusta
Save
Guardar
Relay
Compartir
Mark Helpful
Me gusta
Save
Guardar
Relay
Compartir
Cite This Study
Copy
Zhong et al. (Sat,) studied this question.
synapsesocial.com/papers/69a7613cc6e9836116a2ef5c
https://doi.org/https://doi.org/10.1016/j.neucom.2026.133084