Реализация системы адаптивной аутентификации с применением ЭЭГ интерфейса
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Научный журнал Моделирование, оптимизация и информационные технологииThe scientific journal Modeling, Optimization and Information Technology
Online media
issn 2310-6018

Implementation of an adaptive authentication system using an EEG interface

idIskhakov A.Y. Smirnov A.M.  

UDC 004.056.53
DOI: 10.26102/2310-6018/2020.29.2.020

  • Abstract
  • List of references
  • About authors

The work offers methodological support for critical information infrastructure objects, which provides for the systematization of the basic steps for the formation of adaptive authentication algorithms, including using a biometric factor, which consists in checking the electroencephalogram of the access subject. The proposed approach eliminates the drawbacks of existing traditional authentication methods based on the use of explicit verification methods related to the fact that authentication characteristics are used to authenticate the user, which can be compromised by attackers. During the research, an authentication subsystem was implemented using the brain-computer interface. Despite the resistance to errors of the second kind, the insufficient results of the false access denial coefficient obtained at the stage of the experiment do not allow for the “seamless” implementation of such biometric authentication mechanisms in existing objects of critical information infrastructure. At the same time, the effectiveness of the adaptive mechanisms for checking the user profile formed on the basis of the approach proposed in the work indicates the possibility of their use on real objects using diverse factors and authentication criteria. Thus, in the framework of this article, one of the aspects of an integrated approach to ensure the security of the functioning of technological processes, as well as combating fraud and theft of information through the formation of adaptive authentication algorithms, was considered.

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Iskhakov Andrey Yunusovich
PhD in Technical sciences
Email: iskhakovandrey@gmail.com

ORCID |

Institute for Management Problems. V.A. Trapeznikov RAS

Samara, Russian Federation

Smirnov Anton Mikhailovich

Email: smirnovanton.m@mail.ru

MSTU named after N.E.Bauman

Moscow, Russian Federation

Keywords: authentication, electroencephalogram, neurointerface, critical information infrastructure, information security

For citation: Iskhakov A.Y. Smirnov A.M. Implementation of an adaptive authentication system using an EEG interface. Modeling, Optimization and Information Technology. 2020;8(2). Available from: https://moit.vivt.ru/wp-content/uploads/2020/05/IskhakovSmirnov_2_20_1.pdf DOI: 10.26102/2310-6018/2020.29.2.020 (In Russ).

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