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Bot detection using Behavioral Analysis in MMORPG

Wilson, Vino (2020) Bot detection using Behavioral Analysis in MMORPG. Masters thesis, Dublin, National College of Ireland.

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Abstract

Gaming is one of the popular industries among all the others, especially online and MMORPG games and people around the globe are spending money on different games. Every game has its own features and gameplay and to increase the user experience has been a challenging factor for the companies as Bots among the humans have populated in most of the games. For this purpose, the paper focuses on the behavioral of the player to detect and differentiate between human and bot players. Feature selection methods was used by which features were selected as per the rank importance for training the data. Algorithms such as Random Forest, Naive Bayes, Ensemble technique and Generalized Liner Model were used to fit the data. Random forest indicated the best performance with an accuracy of 96 percent.
Keyword: Feature Selection, Classification algorithm, Machine Learning, MMORPG

Item Type: Thesis (Masters)
Subjects: Q Science > QA Mathematics > Electronic computers. Computer science
T Technology > T Technology (General) > Information Technology > Electronic computers. Computer science

Q Science > QA Mathematics > Computer software
T Technology > T Technology (General) > Information Technology > Computer software

G Geography. Anthropology. Recreation > GV Recreation Leisure > Games and Amusements > Computer Games. Video Games.
Divisions: School of Computing > Master of Science in Data Analytics
Depositing User: Dan English
Date Deposited: 18 Jun 2020 15:20
Last Modified: 18 Jun 2020 15:20
URI: http://norma.ncirl.ie/id/eprint/4309

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