| Title | Application of the Neural Networks for Cryptographic Information Security |
| Publication Type | Conference Paper |
| Year of Publication | 2020 |
| Authors | Nakhushev, Rakhim S., Sukhanova, Natalia V. |
| Conference Name | 2020 International Conference Quality Management, Transport and Information Security, Information Technologies (IT QM IS) |
| Keywords | Artificial neural networks, Biological neural networks, block ciphering, cryptography, cyber physical systems, Cyber-physical systems, Information security, information technology, Metrics, Neural Network Security, Neurons, policy-based governance, pubcrawl, Resiliency, Secret key, Switches, Training, training set |
| Abstract | The object of research is information security. The tools used for research are artificial neural networks. The goal is to increase the cryptography security. The problems are: the big volume of information, the expenses for neural networks design and training. It is offered to use the neural network for the cryptographic transformation of information. |
| DOI | 10.1109/ITQMIS51053.2020.9322981 |
| Citation Key | nakhushev_application_2020 |
Application of the Neural Networks for Cryptographic Information Security