A Massive Machine-Learning Approach For Classical Cipher Type Detection Using Feature Engineering

Ernst Leierzopf, Nils Kopal, Bernhard Esslinger, Harald Lampesberger, Eckehard Hermann

Research output: Chapter in Book/Report/Conference proceedings › Conference contribution › peer-review

Original language	English
Title of host publication	Proceedings of the 4th International Conference on Historical Cryptology
Subtitle of host publication	HistoCrypt 2021
Pages	111-120
Number of pages	10
DOIs	https://doi.org/10.3384/ecp183164
Publication status	Published - Aug 2021

Access to Document

@inproceedings{173e4d14913c42e9a89111abc47602af,

title = "A Massive Machine-Learning Approach For Classical Cipher Type Detection Using Feature Engineering",

author = "Ernst Leierzopf and Nils Kopal and Bernhard Esslinger and Harald Lampesberger and Eckehard Hermann",

year = "2021",

month = aug,

doi = "10.3384/ecp183164",

language = "English",

pages = "111--120",

booktitle = "Proceedings of the 4th International Conference on Historical Cryptology",

}

A Massive Machine-Learning Approach For Classical Cipher Type Detection Using Feature Engineering. / Leierzopf, Ernst; Kopal, Nils; Esslinger, Bernhard et al.
Proceedings of the 4th International Conference on Historical Cryptology: HistoCrypt 2021. 2021. p. 111-120.

Research output: Chapter in Book/Report/Conference proceedings › Conference contribution › peer-review

TY - GEN

T1 - A Massive Machine-Learning Approach For Classical Cipher Type Detection Using Feature Engineering

AU - Leierzopf, Ernst

AU - Kopal, Nils

AU - Esslinger, Bernhard

AU - Lampesberger, Harald

AU - Hermann, Eckehard

PY - 2021/8

Y1 - 2021/8

U2 - 10.3384/ecp183164

DO - 10.3384/ecp183164

M3 - Conference contribution

SP - 111

EP - 120

BT - Proceedings of the 4th International Conference on Historical Cryptology

ER -