Detection of illegal players in massively multiplayer online role playing game by classification algorithms

Zhongqqiang Zhang, Hiroaki Anada, Junpei Kawamoto, Kouichi Sakurai

研究成果: Chapter in Book/Report/Conference proceedingConference contribution

3 被引用数 (Scopus)

抄録

Online games have become one of the most popular games in recent years. However, fraud such as real money trading and the use of game bot, has also increased accordingly. In order to maintain a balance in the virtual world, the operators of online games have taken a stern response to the players who conduct fraud. In this study, we have sorted out players' behaviors based on players' game playing time in order to support and find potentially illegal players in the MMORPG. In this paper, we added a topic model to the experiment and used k-means as a major tool to classify the players in the World of War craft Avatar History Dataset and find potentially illegal players.

本文言語英語
ホスト出版物のタイトルProceedings - IEEE 29th International Conference on Advanced Information Networking and Applications, AINA 2015
編集者Makoto Takizawa, Leonard Barolli, Fatos Xhafa, Tomoya Enokido, Jong Hyuk Park
出版社Institute of Electrical and Electronics Engineers Inc.
ページ406-413
ページ数8
ISBN(電子版)9781479979042
DOI
出版ステータス出版済み - 4 29 2015
イベント29th IEEE International Conference on Advanced Information Networking and Applications, AINA 2015 - Gwangju, 大韓民国
継続期間: 3 25 20153 27 2015

出版物シリーズ

名前Proceedings - International Conference on Advanced Information Networking and Applications, AINA
2015-April
ISSN(印刷版)1550-445X

その他

その他29th IEEE International Conference on Advanced Information Networking and Applications, AINA 2015
国/地域大韓民国
CityGwangju
Period3/25/153/27/15

All Science Journal Classification (ASJC) codes

  • 工学(全般)

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