Minicursos do XX Simpósio Brasileiro de Segurança da Informação e de Sistemas Computacionais

Autores

Fábio Borges (ed)
LNCC
Raphael Carlos Santos Machado (ed)
Inmetro

Palavras-chave:

SBSeg 2020, Segurança da Informação

Sinopse

O Livro de Minicursos do SBSeg 2020 apresenta ferramentas de computação voltadas para a Segurança de Informação, bem como novos paradigmas voltados à privacidade de dados, sendo de muita utilidade para pessoas que desejem ganhar conhecimento nas respectivas áreas abordadas. O primeiro capítulo, intitulado "Processamento confidencial de dados de sensores na nuvem", apresenta como ferramentas de computação confidencial podem ser usadas para o desenvolvimento de aplicações que processam dados potencialmente sensíveis de aplicações de Internet das Coisas na nuvem. O segundo capítulo, "Processamento de Linguagem Natural para Identificação de Notícias Falsas em Redes Sociais: Ferramentas, Tendências e Desafios", apresenta métodos de pré-processamento de dados em linguagem natural, vetorização, redução de dimensionalidade, aprendizado de máquina e avaliação da qualidade de recuperação de informação. Por fim, no terceiro capítulo, "Privacidade do Usuário em Aprendizado Colaborativo: Federated Learning, da Teoria à Prática", discute-se o paradigma de Aprendizado Federado (Federated Learning), que permite a execução colaborativa de modelos de aprendizado em dados locais e posterior agregação em um modelo global centralizado. O capítulo foca em apresentar os princípios, as aplicações, assim como os desafios e os ataques ao aprendizado federado, através de uma abordagem prático-teórica com foco na privacidade dos usuários.

Capítulos

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