THE POTENTIAL OF MACHINE LEARNING IN CYBERSECURITY

Авторы

  • Abdurashidova Kamola Assosciate professor at Tashkent University of Information Technologies named after Muhammad al-Khwarizmi, Department of Computer Systems
  • Abdukhakimov Fayzulla Graduate student at Tashkent University of Information Technologies named after Muhammad al-Khwarizmi, Department of Computer Systems
  • Sevinch Chorshanbiyeva Undergraduate student at Tashkent University of Information Technologies named after Muhammad al-Khwarizmi, Department of Computer Systems

Ключевые слова:

Keywords: cyberattack, cybersecurity, machine learning (ML), deep learning (DL), cyberattack based on machine learning.

Аннотация

Annotation: It is challenging to identify advantages in implementing and making decisions utilizing machine learning in cybersecurity because of the plethora of options that these advancements in the sector create. Also, attackers can target computer systems with the use of these technologies. In this paper, machine learning‘s application to cybersecurity and cyberattacks have been discussed.

Загрузки

Опубликован

19.05.2024

Как цитировать

Abdurashidova Kamola, Abdukhakimov Fayzulla, & Sevinch Chorshanbiyeva. (2024). THE POTENTIAL OF MACHINE LEARNING IN CYBERSECURITY. "Science Shine" International Scientific Journal, 13(1). извлечено от https://science-shine.uz/index.php/ilmnuri/article/view/288

Выпуск

Том 13 № 1 (2024): SCIENCE SHINE international scientific journal

Раздел

Статьи