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Scalable Neural Cryptanalysis of Block Ciphers in Federated Attack Environments

This paper presents an extended investigation into deep learning-based cryptanalysis of block ciphers by introducing and evaluating a multi-server attack environment. Building upon our prior work in centralized settings, we explore the practicality and scalability of deploying such attacks across mu...

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Principais autores: Ongee Jeong, Seonghwan Park, Inkyu Moon
Format: Artigo
Sprog:Inglês
Udgivet: MDPI AG 2026-01-01
Serier:Mathematics
Fag:
block ciphers
neural cryptanalysis
distributed learning
encryption emulation (EE)
plaintext recovery (PR)
data encryption standard (DES)
Online adgang:https://www.mdpi.com/2227-7390/14/2/373
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