Multimodal game bot detection using user behavioral characteristics

As the online service industry has continued to grow, illegal activities in the online world have drastically increased and become more diverse. Most illegal activities occur continuously because cyber assets, such as game items and cyber money in online games, can be monetized into real currency. The aim of this study is to detect game bots in a massively multiplayer online role playing game (MMORPG). We observed the behavioral characteristics of game bots and found that they execute repetitive tasks associated with gold farming and real money trading. We propose a game bot detection method based on user behavioral characteristics. The method of this paper was applied to real data provided by a major MMORPG company. Detection accuracy rate increased to 96.06 % on the banned account list.

[1]  Chong-kwon Kim,et al.  Surgical strike: A novel approach to minimize collateral damage to game BOT detection , 2013, 2013 12th Annual Workshop on Network and Systems Support for Games (NetGames).

[2]  Franc Grootjen,et al.  A step in the right direction : Botdetection in MMORPGs using movement analysis , 2009 .

[3]  Aziz Mohaisen,et al.  AV-Meter: An Evaluation of Antivirus Scans and Labels , 2014, DIMVA.

[4]  Jee-Hyong Lee,et al.  Game Bot Detection Approach Based on Behavior Analysis and Consideration of Various Play Styles , 2013 .

[5]  Jee-Hyong Lee,et al.  Game behavior pattern modeling for game bots detection in MMORPG , 2010, ICUIMC '10.

[6]  Ruck Thawonmas,et al.  Detection of Landmarks for Clustering of Online-Game Players , 2007, Int. J. Virtual Real..

[7]  Jaideep Srivastava,et al.  Mining for Gold Farmers: Automatic Detection of Deviant Players in MMOGs , 2009, 2009 International Conference on Computational Science and Engineering.

[8]  Chong-kwon Kim,et al.  What can free money tell us on the virtual black market? , 2011, SIGCOMM.

[9]  Atsushi Fujita,et al.  Exploiting MMORPG log data toward efficient RMT player detection , 2010, Advances in Computer Entertainment Technology.

[10]  Christian Platzer.  Sequence-based bot detection in massive multiplayer online games , 2011, 2011 8th International Conference on Information, Communications & Signal Processing.

[11]  Ah Reum Kang,et al.  Analysis of Game Bot's Behavioral Characteristics in Social Interaction Networks of MMORPG , 2015, Comput. Commun. Rev..

[12]  Engin Kirda,et al.  Server-Side Bot Detection in Massively Multiplayer Online Games , 2009, IEEE Security & Privacy.

[13]  Jaideep Srivastava,et al.  Bot Detection Based on Social Interactions in MMORPGs , 2013, 2013 International Conference on Social Computing.

[14]  Ah Reum Kang,et al.  Chatting Pattern Based Game BOT Detection: Do They Talk Like Us? , 2012, KSII Trans. Internet Inf. Syst..

[15]  Kuan-Ta Chen,et al.  User identification based on game-play activity patterns , 2007, NetGames '07.

[16]  Ruck Thawonmas,et al.  Detection of MMORPG Misconducts Based on Action Frequencies, Types and Time-Intervals , 2010, DMIN.

[17]  Santa Barbara.  server-side bot detection in Massively Multiplayer Online Games , 2009 .

[18]  Ah Reum Kang,et al.  Analysis of Context Dependence in Social Interaction Networks of a Massively Multiplayer Online Role-Playing Game , 2012, PloS one.

[19]  Ah Reum Kang,et al.  Analysis of Game Bot's Behavioral Characteristics in Social Interaction Networks of MMORPG , 2015, Comput. Commun. Rev..

[20]  Hsing-Kuo Kenneth Pao,et al.  Trajectory analysis for user verification and recognition , 2012, Knowl. Based Syst..

[21]  Aziz Mohaisen,et al.  You are a Game Bot!: Uncovering Game Bots in MMORPGs via Self-similarity in the Wild , 2016, NDSS.

[22]  Geoffrey M. Voelker,et al.  Second life: a social network of humans and bots , 2010, NOSSDAV.

[23]  Kouichi Sakurai,et al.  Detection of Illegal Players in Massively Multiplayer Online Role Playing Game by Classification Algorithms , 2015, 2015 IEEE 29th International Conference on Advanced Information Networking and Applications.

[24]  H. Pao,et al.  Game Bot Detection via Avatar Trajectory Analysis , 2010, IEEE Transactions on Computational Intelligence and AI in Games.

[25]  Huy Kang Kim,et al.  In-Game Action Sequence Analysis for Game BOT Detection on the Big Data Analysis Platform , 2015 .

[26]  Juyong Park,et al.  Online game bot detection based on party-play log analysis , 2013, Comput. Math. Appl..

[27]  Peter Bodorik,et al.  Sociotechnical architecture for online privacy , 2005, IEEE Security & Privacy Magazine.