Segurança na Internet do Futuro: Provendo Confiança Distribuída através de Correntes de Blocos na Virtualização de Funções de Rede

Abstract

The Book of Short Courses of the XXXVII Brazilian Symposium on Computer Networks and Distributed Systems (SBRC 2019) addresses current topics which are of interest to the community, such as blockchains, network virtualization, urban computing, packet processing, wireless networks, cryptography and data science. In the first chapter, entitled “Seguranca na Internet do Futuro: Provendo Confianca Distribuida atraves de Correntes de Blocos na Virtualizacao de Funcoes de Rede” the authors discuss the fundamentals of blockchain, and relate these concepts to research challenges in security in new generation networks. In the second chapter, “Computacao Urbana da Teoria a Pratica: Fundamentos, Aplicacoes e Desafios”, the authors discuss the notion of Urban Computing, which correlates urban sensing, data management and its analysis to provide services with the potential to improve the quality of life of the inhabitants of large urban centers, and present the necessary steps to develop an application in this area. In the third chapter, “Processamento Rapido de Pacotes com eBPF e XDP”, the authors aim to present the Extended Berkeley Packet Filter (eBPF), which is used for the fast processing of network packets. In the fourth chapter, “Analise de Dados em Redes Sem Fio de Grande Porte: Processamento em Fluxo em Tempo Real, Tendencias e Desafios”, the authors present the main methods of sampling, data collection and monitoring of wireless networks, and characterize knowledge extraction as a machine learning problem in processing large volumes of data. In the fifth chapter, “Introducao a Criptografia para Administradores de Sistemas com TLS, OpenSSL e Apache mod_ssl”, the authors address the use of cryptography by students and information technology professionals with little experience in security and encryption. In the sixth and final chapter, “Introducao a Ciencia de Dados: Uma Visao Pragmatica utilizando Python, Aplicacoes e Oportunidades em Redes de Computadores”, the authors present, using the Python language and specific libraries, the most used methods to manipulate and analyze data and extract information, applying them to solve problems in the area of computer networks. The six chapters comprehensively address current topics of the community, being a useful resource for researchers and professionals in the area of computer networks and distributed systems.