Banca de QUALIFICAÇÃO: VALMIRO RIBEIRO DA SILVA

Uma banca de QUALIFICAÇÃO de MESTRADO foi cadastrada pelo programa.
DISCENTE : VALMIRO RIBEIRO DA SILVA
DATA : 04/07/2018
HORA: 09:00
LOCAL: Auditório II do DIMAp
TÍTULO:

An investigation of biometric-based user predictability in the online game League of Legends

PALAVRAS-CHAVES:

Biometrics, keystroke dynamics, mouse dynamics, user verification, league of legends, insider treat

PÁGINAS: 50
GRANDE ÁREA: Ciências Exatas e da Terra
ÁREA: Ciência da Computação
SUBÁREA: Matemática da Computação
ESPECIALIDADE: Modelos Analíticos e de Simulação
RESUMO:

The popularity of computer games has grown exponentially in the last years. Although such games were created to promote competition and promote self-improvement, there are some recurrent issues. One that has received the least amount of attention so far is the problem of "account sharing" which is when a player shares his/her account with more experienced players to make progress in the game. The companies running those games tend to punish this behaviour, but this specific case is hard to identify. Since, the popularity of machine learning has never been higher, the aim of this study is better understand how online game biometric data behaves, using approaches and to understand character impact on a player and how different algorithms are affected by how frequently a sample is collected. Our first experiment showed through the use of statistic tests how consistent a player can be even when he/she changes characters or roles, while the others exposed what are the impacts of more training samples and how the tested machine learning algorithms are affected by how often we collect our samples, showing the way to improve our database.

MEMBROS DA BANCA:
Presidente - 2524467 - MARJORY CRISTIANY DA COSTA ABREU
Externo ao Programa - 1669545 - DANIEL SABINO AMORIM DE ARAUJO
Externo ao Programa - 2938129 - LAURA EMMANUELLA ALVES DOS SANTOS SANTANA DE OLIVEIRA