Оригинал (Original)
Автори: Трифонов, Р. И., Наков, О. Н., Цочев, Г. Р., Наков, П. О.
Заглавие: The Use of Intelligent Methods to Protect Industrial Systems
Ключови думи: Machine learning algorithms , Computer hacking , Software al

Абстракт: New tools, programs, and security systems are constantly being developed to combat the ever-improving malicious actors. The key to understanding, analyzing the behavior and successfully countering the actions of the "hacker" is to know as much as possible about him and the new methods and tools he uses., so this is an area where AI can really help. This article presents an overview of intelligent methods suitable for intrusion detection in industrial systems.

Библиография

    Издание

    2022 10th International Scientific Conference on Computer Science (COMSCI), стр. стр. 1-4, 2022, България, София, DOI 978-1-6654-9777-0/10.1109/COMSCI55378.2022.9912603
    		Autors: Trifonov, R. I., Nakov, O. N., Tsochev, G. R., Nakov, P. O.
    Title: The Use of Intelligent Methods to Protect Industrial Systems
    Keywords: Machine learning algorithms , Computer hacking , Software algorithms , Companies , Machine learning , Time measurement , Software

    Abstract: New tools, programs, and security systems are constantly being developed to combat the ever-improving malicious actors. The key to understanding, analyzing the behavior and successfully countering the actions of the "hacker" is to know as much as possible about him and the new methods and tools he uses., so this is an area where AI can really help. This article presents an overview of intelligent methods suitable for intrusion detection in industrial systems.

    References

      Issue

      2022 10th International Scientific Conference on Computer Science (COMSCI), pp. 1-4, 2022, Bulgaria, Sofia, DOI 978-1-6654-9777-0/10.1109/COMSCI55378.2022.9912603

      Вид: публикация в международен форум, публикация в реферирано издание, индексирана в Scopus