Please use this identifier to cite or link to this item:
https://elib.belstu.by/handle/123456789/31444| Title: | Probabilistic measure of space for neurocryptographic system solutions |
| Authors: | Urbanovich, P. Karczmarski, D. Plonkowski, W. |
| Keywords: | neurocryptography system solutions |
| Issue Date: | 2019 |
| Citation: | Urbanovich, P. Probabilistic measure of space for neurocryptographic system solutions / P. Urbanovich, D. Karczmarski, M. Plonkowski // Proc. of 11th Intern. Conf. NEET’2019, Zakopane, Poland, June 25 - 28, 2019. – Lublin University of Techn., 2019. – P. 32 |
| Description: | The cryptographic key matching can be based on artificial neural network technologies. Kinzel-Kanter protocol uses neural networks (A and B) ability in mutual learning and generating common secret key. This idea was developed (in particular, see. In this report a probabilistic approach that combines network parameters and the time of their synchronization is analyzed. |
| URI: | https://elib.belstu.by/handle/123456789/31444 |
| Appears in Collections: | Публикации в зарубежных изданиях |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| NEET'2019-2.pdf | 113.02 kB | Adobe PDF | View/Open |
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