Multimodal game bot detection using user behavioral characteristics
Author:
Funder
National Research Foundation of Korea
Publisher
Springer Science and Business Media LLC
Subject
Multidisciplinary
Link
http://link.springer.com/content/pdf/10.1186/s40064-016-2122-8.pdf
Reference26 articles.
1. Ahmad MA, Keegan B, Srivastava J, Williams D, Contractor N (2009) Mining for gold farmers: automatic detection of deviant players in MMOGs. In: International conference on computational science and engineering, 2009. CSE’09, vol 4, pp 340–345. IEEE
2. Chen K-T, Hong L-W (2007) User identification based on game-play activity patterns. In: Proceedings of the 6th ACM SIGCOMM workshop on network and system support for games, pp 7–12. ACM
3. Chung Y, Park C-Y, Kim N-R, Cho H, Yoon T, Lee H, Lee J-H (2013) Game bot detection approach based on behavior analysis and consideration of various play styles. ETRI J 35(6):1058–1067
4. Itsuki H, Takeuchi A, Fujita A, Matsubara H (2010) Exploiting MMORPG log data toward efficient rmt player detection. In: Proceedings of the 7th international conference on advances in computer entertainment technology, pp 118–119. ACM
5. Jeong SH, Kang AR, Kim HK (2015) Analysis of game bot’s behavioral characteristics in social interaction networks of MMORPG. In: Proceedings of the 2015 ACM conference on special interest group on data communication, pp 99–100. ACM
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