Dec 9, 2022 · Our best attack is the 15-round deep learning assisted key recovery attack against Simeck32/64, which is expected to succeed with a data ...
Dec 18, 2022 · We obtain 8/9/10-round neural differential distinguishers for Simeck32/64 and successfully recover the penultimate round and last round subkeys.
In this paper, we make some improvements to Gohr's framework and apply it to Simeck32/64. We also present some parameter tuning experience for running deep ...
Deep Learning Assisted Key Recovery Attack for Round-Reduced Simeck32/64. https://doi.org/10.1007/978-3-031-22390-7_26 ·. Journal: Lecture Notes in Computer ...
By constructing polytope differential neural network distinguisher, we make a key recovery attack. In order to increase the number of rounds, we first used ...
Jun 2, 2019 · Abstract. This paper has four main contributions.1 First, we calculate the predicted difference distribution of Speck32/64 with one specific ...
Missing: Simeck32/ | Show results with:Simeck32/
A known-plaintext attack is implemented by a neural network to perform key recovery [19]. Deep learning is applied to side-channel attacks on AES to produce ...
Missing: Assisted | Show results with:Assisted
Sep 14, 2022 · In this study, the novel multiple differential distinguishers of round-reduced SIMECK32/64 based on deep learning are proposed.
The situation changed in 2019 when Gohr [7] presented a deep learning method to launch key recovery attacks using SPECK [12] as the target block cipher. Ghor ...
As a result, we achieve a 14-round key recovery attack on Speck32/64 using related-key neural distinguishers (RK-NDs). Results are in Table 1. Furthermore, we.
Missing: Assisted | Show results with:Assisted