캐릭터 성장 유형 분류를 통한온라인 게임 하드코어 유저와 게임 봇 탐지 연구
A study on hard-core users and bots detection using classification of game character’s growth type in online games
0
조회
0
다운로드
3
인용
0
참고문헌
키워드
초록
온라인 게임에서 게임 봇의 사용은 개인정보 탈취, 계정도용의 보안 문제를 발생시킨다. 또한, 게임 봇은 게임 내재화를 불공정하게 수집하여 게임 콘텐츠의 빠른 소비와 정당한 게임 사용자에게 상대적 박탈감을 주어 게임시장 침체를 일으킨다. 본 연구에서는 실제 온라인 게임 내 캐릭터의 성장 과정 분석을 통해 성장 유형을 정의하고, 성장 유형에서 게임봇을 탐지 및 하드코어 유저와 봇을 분류하는 프레임워크를 제안한다. 실제 게임 데이터에 제안한 프레임워크를 적용하여 5가지로 성장 유형을 분류하였고, 93%의 정확도로 봇 탐지 및 하드코어 유저와 봇을 구분하였다. 또한 기존연구에서 봇으로 탐지되었던 하드코어 유저를 구분해내고, 게임 봇을 성장 전에 사전 탐지함으로써 향상된 성능을보였다.
Abstract
Security issues such as an illegal acquisition of personal information and identity theft happen due to using game bots in online games. Game bots collect items and money unfairly, so in-game contents are rapidly depleted, and honest users feel deprived. It causes a downturn in the game market. In this paper, we defined the growth types by analyzing the growth processes of users with actual game data. We proposed the framework that classify hard-core users and game bots in the growth patterns. We applied the framework in the actual data. As a result, we classified five growth types and detected game bots from hard-core users with 93% precision. Earlier studies show that hard-core users are also detected as a bot. We clearly separated game bots and hard-core users before full growth.
참고문헌 (25)
- B. Keegan, "What can gold farmers teach Us About criminal networks?", XRDS : Crossroads, 17, pp.11~15 (2011)
- H. Itsuki, "Exploiting MMORPG log data toward efficient RMT player detection", International Conference on Advances in Computer Entertainment Technology, pp.118~119 (2010)
- 강아름, "온라인 게임 봇 탐지를 위한 사용자 행위 분석", 정보보호학회논문지, 22(2), pp.225~238 (2012), 한국정보보호학회
- R. V. Yampolskiy, "Embedded noninteractive continuous bot detection", Computers in Entertainment, 5(7) (2008)
- P. Golle, "Preventing bots from playing online games", Computers in Entertainment, 3, pp.3~3 (2005)
- K. T. Chen, "Game bot detection based on avatar trajectory", Entertainment Computing-ICEC, 5309, pp.94~105 (2009)
- S. Mitterhofer, "Server-side bot detection in massive multiplayer online games", IEEE Security and Privacy, pp.29~36 (2009)
- M. van Kesteren, "A step in the right direction:Botdetection in MMORPGs using movement analysis", the 21st Belgian-Dutch Conference on Artificial Intelligence (2009)
- K. T. Chen, "Game bot identification based on manifold learning", ACM SIGCOMM Workshop on Network and System Support forGames, pp.21~26 (2008)
- K. T. Chen, "User Identification based on Game-Play Activity Patterns", ACM SIGCOMM workshop on Network and system support for games, pp.7~12 (2007)
- 강아름, "Chatting Pattern Based Game BOT Detection: Do They Talk Like Us?", KSII Transactions on Internet and Information Systems, 6(11), pp.2866~2879 (2012), 한국인터넷정보학회
- K. Woo, "What can free money tell us on the virtual black market", ACM SIGCOMM, 41, pp.392~393 (2011)
- M. A. Ahmad, "Guilt by association? Network based propagation approaches for gold farmer detection", Advances in Social Networks Analysis and Mining, pp.121~126 (2013)
- A. Fujita, "Detecting Real Money Traders in MMORPG by Using Trading Network", AIIDE (2011)
- H. Kwon, "Surgical strike: A novel approach to minimize collateral damage to game BOT detection", Annual Workshop on Network and Systems Support for Games, pp.1~2 (2013)
- 정연오, "Game Bot Detection Approach Based on Behavior Analysis and Consideration of Various Play Styles", ETRI Journal, 35(6), pp.1058~1067 (2013), 한국전자통신연구원
- R. Thawonmas, "Detection of MMORPG bots based on behavior analysis", International Conference on Advances in Computer Entertainment Technology, pp.91~94 (2008)
- I. X. Domínguez, "Detecting abnormal user behavior through pattern-mining input device analytics", the 2015 Symposium and Bootcamp on the Science of Security, pp.11~ (2015)
- Y. Mishima, "An analysis of players and bots behaviors in MMORPG", Advanced Information Networking and Applications, pp.870~876 (2013)
- J. Lee, "I know what the BOTs did yesterday: full action sequence analysis using Naïve Bayesian algorithm", Annual Workshop on Network and Systems Support for Games, pp.1~2 (2013)
- J. Lee, "In-Game Action Sequence Analysis for Game BOT Detection on the Big Data Analysis Platform", 18th Asia Pacific Symposium on Intelligent and Evolutionary Systems, 2, pp.403~414 (2015)
- J. Woo, "Modeling of bot usage diffusion across social networks in MMORPGs", the Workshop at SIGGRAPH Asia, pp.13~18 (2012)
- Y. Ki, "Identifying spreaders of malicious behaviors in online games", the 23rd international conference on World wide web companion, pp.315~316 (2014)
- J. Woo, "The contagion of malicious behaviors in online games", ACM SIGCOMM Computer Communication Review, 43, pp.543~544 (2013)
- T. K. Ho, "Random decision forests", Document Analysis and Recognition, 1, pp.278~282 (1995)