78447

Автор(ы): 

Козлов А. Д. (ИПУ РАН, Лаборатория 79)
Нога Н. Л. (ИПУ РАН, Лаборатория 79)

Автор(ов): 

2

Параметры публикации

Тип публикации: 

Доклад

Название: 

The Neural Networks Information Security Risk in Multiple Variety Attacks Conditions

ISBN/ISSN: 

ISBN 979-8-3503-7571-8

DOI: 

10.1109/MLSD61779.2024

Наименование конференции: 

  • 2024 17th International Conference Management of large-scale system development (MLSD)

Наименование источника: 

  • Proceedings of the 17th International Conference Management of Large-Scale System Development (MLSD)

Город: 

  • Москва

Издательство: 

  • IEEE

Год издания: 

2024

Страницы: 

https://ieeexplore.ieee.org/document/10739435
Аннотация
The authors propose the methodology based on the combined use of fuzzy logic and regression analysis methods that allows us to assess the information security risk level of neural networks depending on the threat levels during the implementation of many different attacks

Библиографическая ссылка: 

Козлов А.Д., Нога Н.Л. The Neural Networks Information Security Risk in Multiple Variety Attacks Conditions / Proceedings of the 17th International Conference Management of Large-Scale System Development (MLSD). М.: IEEE, 2024. С. https://ieeexplore.ieee.org/document/10739435.