Classificação de tráfego e dos dispositivos de IoT através do fluxo de rede e inspeção da carga útil dos pacotes

Detalhes bibliográficos
Ano de defesa: 2018
Autor(a) principal: Santos, Matias Romário Pinheiro dos
Orientador(a): Não Informado pela instituição
Banca de defesa: Não Informado pela instituição
Tipo de documento: Dissertação
Tipo de acesso: Acesso aberto
Idioma: por
Instituição de defesa: Não Informado pela instituição
Programa de Pós-Graduação: Não Informado pela instituição
Departamento: Não Informado pela instituição
País: Não Informado pela instituição
Palavras-chave em Português:
Link de acesso: http://www.repositorio.ufc.br/handle/riufc/37849
Resumo: Internet of things arises as a computational paradigm that promotes the interconnection of intelligent objects to the Internet and allows interaction, operational efficiency, and communication. With the growing inclusion, in the network, of intelligent objects that have characteristics such as diversity, heterogeneity, mobility, and low computational power, it is essential to develop mechanisms that allow management and control. In addition, it is important to identify whether the assets are functioning properly or have anomalies. Traffic classification techniques are important to assist network analysis and to handle many other key aspects, such as security, management, access control, and resource supply. Traffic classification mechanisms still present difficulties when applied in dynamic environments and without knowledge of services, especially with cryptography. In order to promote the classification of the network devices and traffic, especially IoT, a technique is presented that uses the random forest (random forest), an automated learning algorithm supervised, together with the inspection of the contents of the packages To this end. Additionally, the same algorithm is used to perform the classification of network traffic through the characteristics extracted from the network flow. At the end of this dissertation, the proposed strategy will be presented in IoT scenarios and the results.