Output Prediction Attacks on Block Ciphers Using Deep Learning

Author:

Kimura Hayato,Emura Keita,Isobe Takanori,Ito Ryoma,Ogawa Kazuto,Ohigashi Toshihiro

Publisher

Springer International Publishing

Reference39 articles.

1. Alallayah, K.M., Alhamami, A.H., AbdElwahed, W., Amin, M.: Applying neural networks for simplified data encryption standard (SDES) cipher system cryptanalysis. Int. Arab J. Inf. Technol. 9(2), 163–169 (2012)

2. Lecture Notes in Computer Science;MM Alani,2012

3. Alshammari, R., Nur Zincir-Heywood, A.: Machine learning based encrypted traffic classification: identifying SSH and Skype. In: IEEE CISDA, pp. 1–8 (2009)

4. Baek, S., Kim, K.: Recent Advances of Neural Attacks against Block Ciphers. SCIS (2020). https://caislab.kaist.ac.kr/publication/paper_files/2020/scis2020_SG.pdf

5. Bafghi, A.G., Safabakhsh, R., Sadeghiyan, B.: Finding the differential characteristics of block ciphers with neural networks. Inf. Sci. 178(15), 3118–3132 (2008). Nature Inspired Problem-Solving

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