Аннотация This article delves into the application of machine learning techniques in
network security for proactive threat detection. It explores how artificial intelligence …

As the number of Internet-connected systems rises, cyber analysts find it increasingly difficult
to effectively monitor the produced volume of data, its velocity and diversity. Signature-based …

Cyber threats and data breaches have become more sophisticated and stealthier over time.
Traditional rule-based intrusion detection systems fail to detect many modern attacks. This …

This chapter contributes to the ongoing discussion of strengthening security by applying AI
techniques in the scope of intrusion detection. The focus is set on open-world detection of …

Network security can be defined as the act of protecting any given network against threats
that may lead to the availability of the network to be compromised. Moreover, we can also …

This study summarizes major literature reviews on machine learning systems for network
analysis and intrusion detection. Furthermore, it provides a brief lesson description of each …

Аннотация В данной статье исследуется применение методов машинного обучения в
области сетевой безопасности и обнаружения аномалий. Рассматриваются …

This book introduces various machine learning methods for cyber security analytics. With an
overwhelming amount of data being generated and transferred over various networks …

Cyberspace has grown due to the widespread uses of the Internets and mobiles apps.
Attacks on the Internet are more likely to be automated and to last longer. Cyber security …

The rapid evolution and growth of the internet through the last decades led to more concern
about cyber-attacks that are continuously increasing and changing. As a result, an effective …