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Detection of Classical Cipher Types with Feature-Learning Approaches
Ernst Leierzopf, Vasily Mikhalev, Nils Kopal et al., 2021. Communications in Computer and Information Science.
Compares neural network approaches that learn their own features for identifying which classical cipher type produced a given ciphertext.
What it's used for here
Cited in the methods survey on cryptanalysis.
Cited by on this site 1 record
1 methods surveys
SRCCryptanalysis
Cite it
Leierzopf, E., Mikhalev, V., Kopal, N., Esslinger, B., Lampesberger, H., & Hermann, E. (2021). Detection of Classical Cipher Types with Feature-Learning Approaches. Communications in Computer and Information Science. https://doi.org/10.1007/978-981-16-8531-6_11
@article{leierzopf2021detection,
author = {Leierzopf, Ernst and Mikhalev, Vasily and Kopal, Nils and Esslinger, Bernhard and Lampesberger, Harald and Hermann, Eckehard},
title = {Detection of Classical Cipher Types with Feature-Learning Approaches},
journal = {Communications in Computer and Information Science},
year = {2021},
doi = {10.1007/978-981-16-8531-6_11},
url = {https://doi.org/10.1007/978-981-16-8531-6_11}
}TY - JOUR TI - Detection of Classical Cipher Types with Feature-Learning Approaches AU - Leierzopf, Ernst AU - Mikhalev, Vasily AU - Kopal, Nils AU - Esslinger, Bernhard AU - Lampesberger, Harald AU - Hermann, Eckehard PY - 2021 JO - Communications in Computer and Information Science DO - 10.1007/978-981-16-8531-6_11 UR - https://doi.org/10.1007/978-981-16-8531-6_11 ER -
Leierzopf, Ernst et al.. “Detection of Classical Cipher Types with Feature-Learning Approaches.” Communications in Computer and Information Science (2021). https://doi.org/10.1007/978-981-16-8531-6_11.