Blockchain Monitoring and Analytics Project (B-MonAnalys)

Icone de uma Blockchain

B-MonAnalys

This research project aims to advance the state-of-the-art in the modeling and analysis of distributed applications (DApps) on top of blockchain networks in monitoring and identifying user behavior profiles, cost analysis and network performance. In this sense, this research aims to generate knowledge to foster technological innovation in the DApps ecosystem in areas of interest to academia, industry, and governments. Additionally, current research aims to increase people's and organizations' understanding and confidence about the benefits and limitations of blockchain technology.

The achievement of this project involves specific goals that are complementary to each other. Are they:

  • develop techniques to monitor DApps on different blockchain networks;
  • develop models for the automatic classification of user profiles, DApps and digital tokens, respecting privacy limits;
  • analyse the performance of the most popular platforms (e.g., network throughput, delay, security), DApps and their tokens (e.g., popularity, sales, supplies) in blockchain ecosystems.

Dataset

Sandwich Attacks on the Ethereum Blockchain in 2023

NFT metadata and categories on the Opensea platform

Research Papers

2024

Análise de Ataques Sanduíche sob as Transações da Blockchain Ethereum - XLII Simpósio Brasileiro de Redes de Computadores e Sistemas Distribuídos, 2024 [Portuguese]

Finanças Descentralizadas em Redes Blockchain: Perspectivas sobre Pesquisa e Inovação em Aplicações, Interoperabilidade e Segurança, 2024 [Portuguese]

Classificação de Coleções de NFTs Explorando Metadados e Aprendizagem de Máquina, 2024 [Portuguese]

Tokens não Fungíveis (NFTs): Criação, Comer-cialização, Coleta e Análise de Dados na rede BlockchainEthereum e na Plataforma de Vendas OpenSea, 2024 [Portuguese]

2023

Mapping user behaviors to identify professional accounts in Ethereum using semi-supervised learning - Expert Systems with Applications Volume 229, Part B 2023

Análise de Características Estruturais de Tokens não Fungíveis no Ethereum - Workshop em Blockchain: Teoria, Tecnologias e Aplicações, 2023 [Portuguese]

2022

Analysis of Account Behaviors in Ethereum During an Economic Impact Event - arXiv preprint arXiv:2206.11846, 2022

2021

An analysis of the fees and pending time correlation in Ethereum - International Journal of Network Management, 2021

Identifying user behavior profiles in ethereum using machine learning techniques - IEEE International Conference on Blockchain (Blockchain), 2021

Fighting under-price DoS attack in ethereum with machine learning techniques - ACM SIGMETRICS Performance Evaluation Review, 2021

Analyzing transaction confirmation in ethereum using machine learning techniques - ACM SIGMETRICS Performance Evaluation Review, 2021

Researchers

Alexandre Cardoso Fontinele - DCC-UFPI

Alex Borges Vieira - DCC-UFJF

Glauber Dias Gonçalves - CSHNB-UFPI

Heder Soares Bernardino - DCC-UFJF

José Augusto Miranda Nacif - DI-UFV

Saulo Moraes Villela - DCC-UFJF

Current Students

Bruno Wanderson - CSHNB-UFPI

Daniel Muller Rezende - DCC-UFJF

Dayan Ramos Gomes - CSHNB-UFPI

Emanuel Miranda - CSHNB-UFPI

Isdael Rodrigues Oliveira - CSHNB-UFPI

Julia Valadares - DCC-UFJF

Joaquim Pinto de Aguiar Netto - CSHNB-UFPI

Josué Nunes Campos - DI-UFV

Nara Raquel D. Andrade - CSHNB-UFPI

Samuel de Oliveira Ribeiro - CSHNB-UFPI

Pedro Henrique F. S. Oliveira - DCC-UFJF