A chain-of-thought (CoT) generated by ChatGPT 4o based on the provided ciphertext and cipher type. The first line shows the additional header (highlighted in blue) that is added to all CoTs. The rest of the text is generated by ChatGPT and contains the rationale for classifying the provided ciphertext as the 'Slidefair' cipher.

Clustering of the cipher types of the 55 ACA and the five rotor cipher types, used for the clustered and binary classification strategies.

This archive contains neural network models designed for the decryption of wheel 1 pins on the M-209. It includes models that process sequences of 52, 104, and 200 characters, each capable of taking pseudorandom displacement values generated by the machine and predicting the corresponding bit of the key.

A collection of keys generated according to the 1944 technical manual's specifications. This set underpins the creation of the training dataset.

Consists of test keys, organized according to their cryptographic strength, which is determined by the number of non-shared and overlapping lugs.

Contains JSON files detailing keys, keystreams, and ciphertexts derived from the 1_keys_train.zip keys, serving as the training dataset for the models.

Similar to its training counterpart but generated using the test keys from 1_keys_test.zip, these files are used to test the models and analyse their performance based on the strength of the keys.

Provides normalized data arrays that act as inputs and targets for models training.

Contains normalized data arrays that function as inputs and outputs during the testing phase of the models.

English homophonic ciphertexts specifically created for testing and evaluating cryptanalysis algorithms. The ciphertexts were generated using the English Gutenberg Library. Homophonicity level (even) ranges between two and five. Also incorporates language-based homophonic ciphertexts (uneven).

French homophonic ciphertexts specifically created for testing and evaluating cryptanalysis algorithms. The ciphertexts were generated using the French Gutenberg Library. Homophonicity level (even) ranges between two and five. Also incorporates language-based homophonic ciphertexts (uneven).

German homophonic ciphertexts specifically created for testing and evaluating cryptanalysis algorithms. The ciphertexts were generated using the German Gutenberg Library. Homophonicity level (even) ranges between two and five. Also incorporates language-based homophonic ciphertexts (uneven).

Hungarian homophonic ciphertexts specifically created for testing and evaluating cryptanalysis algorithms. The ciphertexts were generated using the Hungarian Gutenberg Library. Homophonicity level (even) ranges between two and five. Also incorporates language-based homophonic ciphertexts (uneven).

Historic English homophonic ciphertexts created for testing and evaluating cryptanalysis algorithms, featuring texts from 1500 to 1800. The ciphertexts were generated using the HistCorp dataset. Homophonicity level (even) ranges between two and five. Also incorporates language-based homophonic ciphertexts (uneven).

Historic French homophonic ciphertexts created for testing and evaluating cryptanalysis algorithms, featuring texts from 1500 to 1800. The ciphertexts were generated using the HistCorp dataset. Homophonicity level (even) ranges between two and five. Also incorporates language-based homophonic ciphertexts (uneven).

Historic German homophonic ciphertexts created for testing and evaluating cryptanalysis algorithms, featuring texts from 1500 to 1800. The ciphertexts were generated using the HistCorp dataset. Homophonicity level (even) ranges between two and five. Also incorporates language-based homophonic ciphertexts (uneven).

Historic Hungarian homophonic ciphertexts created for testing and evaluating cryptanalysis algorithms. Homophonicity level (even) ranges between two and five. Also incorporates language-based homophonic ciphertexts (uneven).

Historic Italian homophonic ciphertexts created for testing and evaluating cryptanalysis algorithms, featuring texts from 1500 to 1800. The ciphertexts were generated using the HistCorp dataset. Homophonicity level (even) ranges between two and five. Also incorporates language-based homophonic ciphertexts (uneven).

A collection of historic English language models for cryptanalysis. These models were trained on texts dating from the 16th to the 19th century.

A collection of historic German language models for cryptanalysis. These models were trained on texts dating from the 16th to the 19th century.