Banca de QUALIFICAÇÃO: LUCAS TOMÉ AVELINO CÂMARA

Uma banca de QUALIFICAÇÃO de MESTRADO foi cadastrada pelo programa.
DISCENTE : LUCAS TOMÉ AVELINO CÂMARA
DATA : 07/02/2017
HORA: 14:00
LOCAL: Auditório II - DIMAp
TÍTULO:

Acquisition and analysis of the first mouse dynamics biometrics database for user verification in the online collaborative game League of Legends

PALAVRAS-CHAVES:

League of Legends, Mouse Dynamics, Account Sharing

PÁGINAS: 58
RESUMO:

Digital games are very popular between players around the world. Some of them are really competitive and even considered sports on some countries. League of Legends is the most played game today with millions of players, and even world championships are transmitted on the internet for the entire world. The game uses account skill level to balance the matches between random players (5 vs 5). Account sharing is one of the biggest problem on this game, because more skilled players can play on someone else account and help to improve their skill level account, causing unbalanced matches on the game. Account sharing is harder to identify than account stealing, because the owner wants to allow the other person to access their account. A mouse dynamics system can be a solution to detect account sharing, since the mouse is used by players during a match. But there is no public database for online games, so a new one was collected and presented in this work. An initial statistical analyses indicates that mouse dynamics features can be used for identication of League of Legends players.

MEMBROS DA BANCA:
Interno - 2524467 - MARJORY CRISTIANY DA COSTA ABREU
Externo ao Programa - 1669545 - DANIEL SABINO AMORIM DE ARAUJO
Externo ao Programa - 2929823 - RAFAEL BESERRA GOMES