JOURNAL BROWSE
Search
Advanced SearchSearch Tips
A Study on Game Bot Detection Using Self-Similarity in MMORPGs
facebook(new window)  Pirnt(new window) E-mail(new window) Excel Download
 Title & Authors
A Study on Game Bot Detection Using Self-Similarity in MMORPGs
Lee, Eun-Jo; Jo, Won-Jun; Kim, Hyunchul; Um, Hyemin; Lee, Jina; Kwon, Hyuk-min; Kim, Huy-Kang;
  PDF(new window)
 Abstract
Game bot playing is one of the main risks in Massively Multi-Online Role Playing Games(MMORPG) because it damages overall game playing environment, especially the balance of the in-game economy. There have been many studies to detect game bot. However, the previous detection models require continuous maintenance efforts to train and learn the game bots` patterns whenever the game contents change. In this work, we have proposed a machine learning technique using the self-similarity property that is an intrinsic attribute in game bots and automated maintenance system. We have tested our method and implemented a system to major three commercial games in South Korea. As a result, our proposed system can detect and classify game bots with high accuracy.
 Keywords
game bot detection;self-similarity;online game security;
 Language
Korean
 Cited by
 References
1.
Ahmad, M.A, Keegan, B, Srivastava, J, Williams, D and Contractor, N, "Mining for Gold Farmers: Automatic Detection of Deviant Players in MMOGS," Proceedings of the Computational Science and Engineering International Conference, vol. 4, pp. 340-345, Aug, 2009

2.
Thawonmas, R, Kashifuji, Y and Chen, K, "Detection of MMORPG Bots Based on Behavior Analysis," Proceedings of Advances in Computer Entertainment Technology Conference, pp. 91-94, Dec, 2008

3.
Kang, A, Kim, HK and Woo, J, "Chatting Pattern Based Game BOT Detection: Do They Talk Like Us," Journal of KSII Transactions on Internet and Information Systems, vol. 6, no. 11, pp.2866-2879, Nov, 2012

4.
Kang, A, Woo, J, Park, J and Kim, HK, "Online Game Bot Detection Based on Party-Play Log Analysis," Journal of Computers and Mathematics with Applications, vol. 65, no. 9, pp. 1384-1395, May, 2013 crossref(new window)

5.
Chung, Y, Park, C, Kim, N, Cho, H, Yoon, T, Lee, H and Lee, J, "Game Bot Detection Approach Based on Behavior Analysis and Consideration of Various Play Styles," Journal of ETRI, vol. 35, no. 6, pp. 1058-1067, Dec, 2013 crossref(new window)

6.
Chen, K, Liao, A, Pao, H and Chu, H, "Game Bot Detection Based on Avatar Trajectory," Proceedings of Entertainment Computing ICEC 2008, vol. 5309, pp. 94-105, 2009

7.
Kesteren, M, Langevoort, J and Grootjen, F, "A Step in the Right Detection: Bot Detection in MMORPGs using Movement Analysis," Proceedings of The 21th Benelux Conference on Artificial Intelligence, 2009

8.
Crovella, M.E, and Bestavrow, A, "Selfsimilarity in World Wide Web traffic: evidence and possible causes," Journal of IEEE/ACM Transactions on Networking, vol. 5, no. 6, pp. 835-846, Dec, 1997 crossref(new window)

9.
Kwon, H, Kim, T, Yu, S and Kim, HK, "Self-similarity bases Based Lightweight Intrusion Detection Method for Cloud Computing," Intelligent Information and Database Systems, Springer Berlin Heidelberg, pp. 353-362, 2011

10.
Kwon, H and Kim, HK, "Self-similarity Based Bot Detection System in MMORPG," Proceedings of The 3rd International Conference on Internet, 2011

11.
Hunter, J.S, "The Exponentially Weighted Moving Average," Journal of Quality Technology, vol. 18, no. 4, pp. 203-210, 1986 crossref(new window)

12.
Roy, A, Ahmad, M.A, Sarkar, C, Keegan, B and Srivastava, J, "The Ones That Got Away: False Negative Estimation Based Approaches for Gold Farmer Detection," Proceedings of IEEE PASSAT and SocialCom, pp. 328-337, Sep, 2012

13.
Lee, E, Lee, J and Kim, J, "Detecting the Bank Character in MMORPGs by Analysis of a Clustered Network," Proceedings of The 3rd International Conference on Internet, 2011

14.
Keegan, B, Ahmad, M.A, Williams, D, Srivastava, J and Contractor N, "Dark Gold: Statistical Properties of Clandestine Networks in Massively Multiplayer Online Games," Proceedings of IEEE SocialCom, pp. 201-208, Aug, 2010

15.
Woo, K, Kwon, H, Kim, HC, Kim, C and Kim, HK, "What can Free Money Tell Us on the Virtual Black Market," Proceedings of ACM SIGCOMM Computer Communication Review vol. 41, no. 4, pp. 392-393, Aug, 2011

16.
Kwon, K, Woo, K, Kim, HC, Kim, C and Kim, HK, "Surgical Strike: A Novel Approach to Minimize Collateral Damage to Game Bot Detection," Proceedings of Annual Workshop on Network and Systems Support for Games. pp. 1-2, Dec, 2013

17.
Fujita, A, Itsuki, H and Matsubara, H, "Detecting Real Money Traders in MMORPG by Using Trading Network," Proceedings of the 7th Artificial Intelligence and Interactive Digital Entertainment Conference, 2011

18.
Cevizci, I, Erol, M, Oktug, S.F, "Analysis of Multi-Player Online Game Traffic Based on Self-similarity," Proceedings of the 5th Workshop on Network and System Support for Games, NETGAMES 2006, Oct, 2006