Eugen Antal
Slovak University of Technology, Bratislava, Slovakia
Pavol Zajac
Slovak University of Technology, Bratislava, Slovakia
Ladda ner artikel
Ingår i: Proceedings of the 1st International Conference on Historical Cryptology HistoCrypt 2018
Linköping Electronic Conference Proceedings 149:22, s. 125-128
NEALT Proceedings Series 34:22, p. 125-128
Publicerad: 2018-06-13
ISBN: 978-91-7685-252-1
ISSN: 1650-3686 (tryckt), 1650-3740 (online)
ManuLab is a software product for statistical analysis of encrypted historical manuscripts. The document analysis is performed via a chain of filters (main building elements). A filter represents any operation realizable on a document transcription divided into a set of pages. The implemented filters allow to change the reading direction, select sub-pages, or a subsection from the document, and calculate several statistics like the index of coincidence, Shannon’s entropy, n-gram frequency, etc. The software design also includes document visualization, displaying pairs of manuscript pages with corresponding transcriptions.
CrypTool Contributors. Cryptool Portal, https://www.cryptool.org/en/
Team dCode. dCode The ultimate ’toolkit’ to solve every games / riddles / geocaches. dCode. https://www.dcode.fr/
Figure 7: Frequency analysis result - histogram of the Rilke Cryptogram (Klausis Krypto Kolumne, 2018).
Klaus Schmeh. Klausis Krypto Kolumne http://scienceblogs.de/klausis-krypto-kolumne
Nick Pelling. Cipher Mysteries http://ciphermysteries.com/
Nick Pelling. The Cipher Foundation http://cipherfoundation.org/
