In this paper the problem of intrusion detection by classification of the network traffic
realizations was considered. The Machine Learning methods using fractal and recurrence …

The problem of detecting types of DDOS attacks in large-scale networks is considered. The
complexity of detection is explained by the presence of a large number of connected and …

In this paper, we consider the problem of intrusion detection in computer networks by the
realizations of network traffic. To solve this problem, time series analysis methods, fractal …

Anomaly detection is an important task in 5G technology and many other areas of human
life. In this paper, statistical methods of data analysis, such as survival analysis, time series …

Detection of DDoS (Distributed Denial of Service) traffic is of great importance for the
availability protection of services and other information and communication resources. The …

With the development of network technology, distributed denial of service (DDoS) attacks
have increasingly become an important security risk that endangers the network. It uses …

Data mining algorithms have essential methods and rules that can contribute in detecting
and preventing various types of network attacks. These methods are utilized with the …

This article will allow users to search for the necessary information about DDOS attacks
around the world and predict future attacks, check whether their network protection is …

Security in the Internet is gradually becoming a paramount aspect as large numbers of
servers are being deployed over the Internet to provide various automated services. A very …

As a result of the increase in the services provided over the internet, it is seen that the
network infrastructure is more exposed to cyber attacks. The most widely used of these …