TY - GEN
T1 - Hard-core user and bot user classification using game character's growth types
AU - Lee, Jin
AU - Kang, Sung Wook
AU - Kim, Huy Kang
N1 - Funding Information:
We would like to thank NC Soft, Inc. for providing dataset. This work was supported by the MSIP (Ministry of Science, ICT and Future Planning), Korea
Publisher Copyright:
© 2015 IEEE.
PY - 2016/1/13
Y1 - 2016/1/13
N2 - Online game bots unfairly collect items and money, then rapidly deplete the in-game contents. Furthermore, recently game bots have been stealing the gamer's personal information and cause account thefts problems. These problems can have disastrous effects as well as leading to a downturn in the online gaming industry. There have been various countermeasures to detect game bots. However, misclassification between game bots and hard-core users is the well-known problem for a long time. In this paper, we define the growth types by analyzing the growth processes of users with the Aion dataset, one of the famous MMORPGs in the world. We propose a framework that classifies hard-core users and game bots in the growth patterns. As a result, we successfully distinguish game bots from hard-core users with high accuracy value.
AB - Online game bots unfairly collect items and money, then rapidly deplete the in-game contents. Furthermore, recently game bots have been stealing the gamer's personal information and cause account thefts problems. These problems can have disastrous effects as well as leading to a downturn in the online gaming industry. There have been various countermeasures to detect game bots. However, misclassification between game bots and hard-core users is the well-known problem for a long time. In this paper, we define the growth types by analyzing the growth processes of users with the Aion dataset, one of the famous MMORPGs in the world. We propose a framework that classifies hard-core users and game bots in the growth patterns. As a result, we successfully distinguish game bots from hard-core users with high accuracy value.
KW - Bot detection
KW - Hard-core user
KW - Massively Multiplayer Online Role-Playing Game
KW - User behavior analysis
UR - http://www.scopus.com/inward/record.url?scp=84964823723&partnerID=8YFLogxK
U2 - 10.1109/NetGames.2015.7383000
DO - 10.1109/NetGames.2015.7383000
M3 - Conference contribution
AN - SCOPUS:84964823723
T3 - Annual Workshop on Network and Systems Support for Games
BT - 2015 International Workshop on Network and Systems Support for Games, NetGames 2015
PB - IEEE Computer Society
T2 - International Workshop on Network and Systems Support for Games, NetGames 2015
Y2 - 3 December 2015 through 4 December 2015
ER -