Detalhes bibliográficos
Ano de defesa: |
2020 |
Autor(a) principal: |
Saa, Olívia Terence |
Orientador(a): |
Não Informado pela instituição |
Banca de defesa: |
Não Informado pela instituição |
Tipo de documento: |
Tese
|
Tipo de acesso: |
Acesso aberto |
Idioma: |
eng |
Instituição de defesa: |
Biblioteca Digitais de Teses e Dissertações da USP
|
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: |
https://www.teses.usp.br/teses/disponiveis/45/45132/tde-06012023-194249/
|
Resumo: |
In the first part of this work, we present, model and analyze a randomized automated peering model, that can be implemented to any distributed system. We conclude that the scheme has some desirable properties (specifically, a reasonable message overhead, a reasonable distribution of the numbers of peers of a node, and a negligible probability of an attack by a malicious actor to be successful). In the second part, we present an article published in the volume 136 of the journal Computers & Industrial Engineering, in October of 2019 (DOI 10.1016=j.cie.2019.07.025). In the paper, we analyze the Nash Equilibria of a graph attachment game, defined to represent the different strategies that malicious actors can use to take certain advantages in a DAG-based (i.e., based on Directed Acyclic Graphs) distributed ledger system. We prove the existence of almost symmetric Nash equilibria for the system where a part of players tries to optimize their attachment strategies and another part follows a default one. We also present simulations that show that the selfish players will not choose strategies that are considerably different that the recommended one. |