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:

Please see our research papers

An analysis of the fees and pending time correlation in Ethereum

Identifying user behavior profiles in ethereum using machine learning techniques

Fighting under-price DoS attack in ethereum with machine learning techniques

Analyzing transaction confirmation in ethereum using machine learning techniques

Analysis of Account Behaviors in Ethereum During an Economic Impact Event

Researchers

Alex Borges Vieira

Glauber Dias Gonçalves

Heder Soares Bernardino

Saulo Moraes Villela

Current Students

Bruno Wanderson

Daniel Muller Rezende

Dayan Ramos Gomes

Emanuel Miranda

Isdael

Julia Valadares

Joaquim Pinto

Nara Raquel D. Andrade

Samuel de Oliveira Ribeiro

Pedro Henrique F. S. Oliveira