Cyber attacks have evolved, making predicting and preventing their occurrence difficult. The
complexity of cyber threats has contributed to the development of technology-intensive …

Network traffic classification is of significant importance. It helps identify network anomalies
and assists in taking measures to avoid them. However, classifying network traffic correctly is …

Information and Communication Technology (ICT) has changed the way we communicate
and access information, resulting in the high generation of heterogeneous data. The amount …

Anomaly detection is a crucial task in various domains. Most of the existing methods assume
the normal sample data clusters around a single central prototype while the real data may …

Anomaly detection is a key issue in wireless sensor networks. One of the most challenging
aspects is to carefully specify a data region of 'normal'instances to identify anomalous ones …

The paper presents research, the purpose of which is to define a machine learning model for
express analysis of network traffic in a distributed computer system for managing …

Network traffic classification is of significant importance; it helps in identifying network
anomalies and assist in taking measures to avoid them. However, classifying network traffic …

With the rapid development of networks and Internet services, network security has gained
increased momentum in the past few years. Consequently, Intrusion Detection Systems …