Condition, perspectives and principles of using neural network technologies in cryptography
Автор: Shemyakina M.A.
Журнал: Форум молодых ученых @forum-nauka
Статья в выпуске: 12-4 (28), 2018 года.
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The article is devoted to the analysis of the possibility of using neural network technologies in cryptography. The relevance of the work is justified by the fact that in order to ensure the information security of the society, it is necessary to introduce new information protection technologies into everyday life. The main field of application of neural network technologies in the field of cryptography are symmetric encryption systems. Neural networks allow to solve the main problem of symmetric encryption systems, which is to transfer the key through an open communication channel. The main reasons for the effectiveness of the use of neural networks in the field of cryptography are considered. The existing implementations of cryptographic systems based on neural networks are analyzed. The conclusion was also made about the further development of neural network cryptography.
Neural network, cryptography, symmetric encryption systems
Короткий адрес: https://sciup.org/140281607
IDR: 140281607