Network malicious traffic detection is one of the essential tasks of computer networks, which
has become an obstacle to network development as networks are expanding in size and …

In this paper, we present a deep neural network model to enhance the intrusion detection
performance. A deep learning architecture combining convolution neural network and long …

Software-defined Networking (SDN) has been discovered as an architecture that uses
applications to make networks flexible and centrally controlled. Although SDN provides …

This study presents the correlational paraconsistent machine (CPM), a tool for anomaly
detection that incorporates unsupervised models for traffic characterization and principles of …

Network traffic prediction is a fundamental tool to harness several management tasks, such
as monitoring and managing network traffic. Online traffic prediction is usually performed …

Computer networks have become an essential technology to society, providing information
and services to its users. Due to its importance, network management is necessary to …

An analysis of a host behavior is an essential key for modern network management and
security. A robust behavior profile enables the network managers to detect anomalies with …

Some previous works concluded that weather conditions impact on the performance of
outdoor IEEE 802.11 b/g links. They show high correlation coefficients between the number …

In the past few years, many tasks performed by human beings have been eased or
automatized by computer networks. Those systems provide high value to society, and as a …

A massificação dos recursos computacionais e o aumento das taxas de transmissão das
redes de comunicação têm contribuído para o surgimento de serviços cada vez mais …