NetRevealer : uma ferramenta gráfica para a análise do tráfego de redes

O problema da falta de uma ferramenta gráfica de análise de redes em tempo real levou ao trabalho de desenvolvimento de uma aplicação que colmatasse esta lacuna. Desta forma, desenvolveu-se o NetRevealer, uma ferramenta multi-plataforma que tem como objetivo analisar o tráfego numa rede de computadores. Para isso, a aplicação acede às interfaces de rede existentes num computador e representa através de um ícone cada equipamento que envia ou recebe pacotes nessa rede. Obtém-se assim um mapa que exibe o tráfego em tempo real e permite detectar atividades nessa rede, nomeadamente atividades indesejadas como portas clandestinas e utilizadores não autorizados a utilizar a rede.The need of a graphical tool for network analysis in real time is the reason of the development of an application to fulfil this gap. Thus, we developed the NetRevealer, a cross-platform tool that aims to analyze traffic on a computer network. The application accesses the existing network interfaces on a computer and uses an icon to represent each device that sends or receives packets on this network. The application tool generates a map that display in real-time the data traffic and allows to detect the activity in this network, including undesirable activities such backdoors and users allowed to use the network

Quality of Experience monitoring and management strategies for future smart networks

One of the major driving forces of the service and network's provider market is the user's perceived service quality and expectations, which are referred to as user's Quality of Experience (QoE). It is evident that QoE is particularly critical for network providers, who are challenged with the multimedia engineering problems (e.g. processing, compression) typical of traditional networks. They need to have the right QoE monitoring and management mechanisms to have a significant impact on their budget (e.g. by reducing the users‘ churn). Moreover, due to the rapid growth of mobile networks and multimedia services, it is crucial for Internet Service Providers (ISPs) to accurately monitor and manage the QoE for the delivered services and at the same time keep the computational resources and the power consumption at low levels. The objective of this thesis is to investigate the issue of QoE monitoring and management for future networks. This research, developed during the PhD programme, aims to describe the State-of-the-Art and the concept of Virtual Probes (vProbes). Then, I proposed a QoE monitoring and management solution, two Agent-based solutions for QoE monitoring in LTE-Advanced networks, a QoE monitoring solution for multimedia services in 5G networks and an SDN-based approach for QoE management of multimedia services