Machine learning based cryptanalysis techniques: perspectives, challenges and future directions
Author:
Affiliation:
1. Larbi Tebessi University,Laboratory of Mathematics, Informatics and Systems (LAMIS),Tebessa,Algeria
2. University of Oum EI Bouaghi,Department of Mathematics and Computer Science,Algeria
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9946838/9946658/09946889.pdf?arnumber=9946889
Reference29 articles.
1. Identifying Encryption Algorithms in ECB and CBC Modes Using Computational Intelligence;de mello;J Univers Comput Sci,2018
2. Extracting Information from Encrypted Data using Deep Neural Networks;lagerhjelm;2019 Accessed Sep,2022
3. Unsupervised Cipher Cracking Using Discrete GANs;gomez;ArXiv,2018
4. Learning the Enigma with Recurrent Neural Net-works;greydanus;ArXiv,2017
5. Improved cryptanalysis combining differential and artificial neural network schemes
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