Generation a shared secret using artificial neural networks
In the Kanter’s and Kinsella’s works is proposes the use of two synchronized artificial neural networks (SANN) connected by opening communication channel to confidential formation of a common cryptographic key. At the same time, there are few questions of practical suitability of this technology for...
Saved in:
| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Belarusian National Technical University
2019-08-01
|
| Series: | Системный анализ и прикладная информатика |
| Subjects: | |
| Online Access: | https://sapi.bntu.by/jour/article/view/266 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1832557357899448320 |
|---|---|
| author | U. F. Holikau M. L. Radziukevich |
| author_facet | U. F. Holikau M. L. Radziukevich |
| author_sort | U. F. Holikau |
| collection | DOAJ |
| description | In the Kanter’s and Kinsella’s works is proposes the use of two synchronized artificial neural networks (SANN) connected by opening communication channel to confidential formation of a common cryptographic key. At the same time, there are few questions of practical suitability of this technology for cryptographic applications. There are no recommendations on the choice of parameters of the used networks, ensuring acceptable speed and guaranteed confidentiality of the generated general secret.In this regard, it is interesting to substantiate the rational values of the parameters of ANN from the point of view of cryptographic requirements and security analysis of the proposed method of formation of cryptographic keys. |
| format | Article |
| id | doaj-art-2aa19f3a13e3459db7d16a854c717a56 |
| institution | Kabale University |
| issn | 2309-4923 2414-0481 |
| language | English |
| publishDate | 2019-08-01 |
| publisher | Belarusian National Technical University |
| record_format | Article |
| series | Системный анализ и прикладная информатика |
| spelling | doaj-art-2aa19f3a13e3459db7d16a854c717a562025-02-03T05:16:51ZengBelarusian National Technical UniversityСистемный анализ и прикладная информатика2309-49232414-04812019-08-0102495610.21122/2309-4923-2019-2-49-56204Generation a shared secret using artificial neural networksU. F. Holikau0M. L. Radziukevich1Belarusian National Technical UniversityResearch Institute for the Technical Protection of InformationIn the Kanter’s and Kinsella’s works is proposes the use of two synchronized artificial neural networks (SANN) connected by opening communication channel to confidential formation of a common cryptographic key. At the same time, there are few questions of practical suitability of this technology for cryptographic applications. There are no recommendations on the choice of parameters of the used networks, ensuring acceptable speed and guaranteed confidentiality of the generated general secret.In this regard, it is interesting to substantiate the rational values of the parameters of ANN from the point of view of cryptographic requirements and security analysis of the proposed method of formation of cryptographic keys.https://sapi.bntu.by/jour/article/view/266synchronized artificial neural networksattackcommon cryptographic keyparameters of the synchronized artificial neural networks |
| spellingShingle | U. F. Holikau M. L. Radziukevich Generation a shared secret using artificial neural networks Системный анализ и прикладная информатика synchronized artificial neural networks attack common cryptographic key parameters of the synchronized artificial neural networks |
| title | Generation a shared secret using artificial neural networks |
| title_full | Generation a shared secret using artificial neural networks |
| title_fullStr | Generation a shared secret using artificial neural networks |
| title_full_unstemmed | Generation a shared secret using artificial neural networks |
| title_short | Generation a shared secret using artificial neural networks |
| title_sort | generation a shared secret using artificial neural networks |
| topic | synchronized artificial neural networks attack common cryptographic key parameters of the synchronized artificial neural networks |
| url | https://sapi.bntu.by/jour/article/view/266 |
| work_keys_str_mv | AT ufholikau generationasharedsecretusingartificialneuralnetworks AT mlradziukevich generationasharedsecretusingartificialneuralnetworks |