#cryptology, #cryptography, #cryptanalysis

In this video, you learn about (classical) cipher type detection with deep learning and artificial neural networks. First, we discuss the basics of feed forward networks (FFN). Then, we learn how a cipher type detection FFN works. Finally, we have a look at NCID (Neural Cipher Identifier) which we developed together with members of the university of Hagenberg and integrated a working version in CrypTool-Online (CTO).

If you want to test NCID on your own, go to NCID on the CTO webpage: https://www.cryptool.org/en/cto/ncid

If you want to learn how our networks were designed, you may have a look at our scientific publications:

Leierzopf, Ernst, et al. "A Massive Machine-Learning Approach For Classical Cipher Type Detection Using Feature Engineering." International Conference on Historical Cryptology. 2021.

Kopal, Nils. "Of Ciphers and Neurons–Detecting the Type of Ciphers Using Artificial Neural Networks." Proceedings of the 3rd International Conference on Historical Cryptology HistoCrypt 2020. No. 171. Linköping University Electronic Press, 2020.

If you are interested in learning the fundaments of cryptology, let me invite you to have a look at our video series about the basics of cryptology, also for beginners:    • Basics of Cryptology – Part 1 (Crypto...  

You can download the latest version of CrypTool 2 from here: https://www.cryptool.org/en/ct2/downl...