К содержанию
РецензированоUZ2025

SUN’IY INTELLEKT ASOSIDA ISHLOVCHI IDS/IPS ALGORITMLARINING TARMOQ TAHDIDLARINI ANIQLASHDAGI SAMARADORLIGINI BAHOLASH

Mo’ydinov Mirjalol Zokirovich

Современная наука и исследования · 4 · 2025

Аннотация

This article reviews the effectiveness of AI-based network security systems – Intrusion Detection System (IDS) and Intrusion Prevention System (IPS) algorithms in detecting network threats. The differences between IDS/IPS systems and traditional methods, the accuracy and speed of threat detection using AI techniques such as artificial neural networks, machine learning (ML), deep learning (DL), and natural language processing (NLP) are analyzed. The advantages and limitations of modern AI-IDS/IPS systems operating in real time are also analyzed. Keywords: IDS, IPS, Artificial Intelligence, network security, machine learning, threat detection, cybersecurity.

Доказательный фрагмент

«This article reviews the effectiveness of AI-based network security systems – Intrusion Detection System (IDS) and Intrusion Prevention System (IPS) algorithms in detecting network threats.»

Образец извлечения

Демо-превью

This article reviews the effectiveness of AI-based network security systems – Intrusion Detection System (IDS) and Intrusion Prevention System (IPS) algorithms in detecting network threats. Полный текст публикации CiteX не хранит — доступ к первоисточнику открывается по DOI согласно лицензии издателя и выбранному плану.

Цитирований
0
Тип
Журнал
Страна
Узбекистан
Ключевые слова
IDS, IPS, Artificial Intelligence, network security, machine learning, threat, tahdidni aniqlash, tarmoq xavfsizligi, kiberxavfsizlik., mashinaviy o‘rganish, Sun’iy intellekt
Открыть DOI
Спросить CiteX об этой работе

Смежные источники