A Deep Learning aided Key Recovery Framework for Large-State Block Ciphers

ePrint Report: A Deep Learning aided Key Recovery Framework for Large-State Block Ciphers

Yi Chen, Zhenzhen Bao, Yantian Shen, Hongbo Yu

In the seminal work published by Gohr in CRYPTO 2019, neural networks were successfully exploited to perform differential attacks on Speck32/64, the smallest member in the block cipher family Speck. The deep learning aided key-recovery attack by Gohr achieves considerable improvement in terms of time complexity upon the state-of-the-art result from the conventional cryptanalysis method. A further question is …

block ciphers deep learning eprint report framework key large recovery state