Open AccessModern Problems of Information Security in Control and Access Control Systems When Using Neural Networks
Author(s) -
V. Chelukhin,
Sergei Tikhonov,
Pyae Zone Aung
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/2096/1/012159
Subject(s) - access control , artificial neural network , computer science , control (management) , work (physics) , control system , network access control , role based access control , computer security , artificial intelligence , engineering , cloud computing security , operating system , mechanical engineering , cloud computing , electrical engineering
This work is devoted to a theoretical study of the investigation of incidents from the operation of access control systems using neural networks in our time. The work describes the processes of operation of control and access control systems, in which neural network technologies are most actively introduced among the components of access control and management systems, and which, from the introduction of neural networks into them, can show new vulnerabilities in the operation of the access control and management system as a whole.