Abstract
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.
| Original language | English |
|---|---|
| Title of host publication | Annual Workshop on Network and Systems Support for Games |
| Publisher | IEEE Computer Society |
| Volume | 2016-January |
| ISBN (Print) | 9781509000685 |
| DOIs | |
| Publication status | Published - 2016 Jan 13 |
| Event | International Workshop on Network and Systems Support for Games, NetGames 2015 - Zagreb, Croatia Duration: 2015 Dec 3 → 2015 Dec 4 |
Other
| Other | International Workshop on Network and Systems Support for Games, NetGames 2015 |
|---|---|
| Country | Croatia |
| City | Zagreb |
| Period | 15/12/3 → 15/12/4 |
Fingerprint
Keywords
- Bot detection
- Hard-core user
- Massively Multiplayer Online Role-Playing Game
- User behavior analysis
ASJC Scopus subject areas
- Computer Networks and Communications
- Human-Computer Interaction
- Electrical and Electronic Engineering
Cite this
Hard-core user and bot user classification using game character's growth types. / Lee, Sangjin; Kang, Sung Wook; Kim, Huy Kang.
Annual Workshop on Network and Systems Support for Games. Vol. 2016-January IEEE Computer Society, 2016. 7383000.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Hard-core user and bot user classification using game character's growth types
AU - Lee, Sangjin
AU - Kang, Sung Wook
AU - Kim, Huy Kang
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
UR - http://www.scopus.com/inward/citedby.url?scp=84964823723&partnerID=8YFLogxK
U2 - 10.1109/NetGames.2015.7383000
DO - 10.1109/NetGames.2015.7383000
M3 - Conference contribution
AN - SCOPUS:84964823723
SN - 9781509000685
VL - 2016-January
BT - Annual Workshop on Network and Systems Support for Games
PB - IEEE Computer Society
ER -