Nguyen, T.T. and Vu, L.T. and Nguyen, A.T. and Nguyen, Q.U. and Nguyen, T.A.H. and Hai, L.D. (2015) Unsupervised anomaly detection in online game. In: 6th International Symposium on Information and Communication Technology, SoICT 2015, 3 December 2015 through 4 December 2015.
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Abstract
Online game is one of the most successful business on the Internet. As online game business grows, cheating in game becomes popular and is the biggest challenge of online game systems. In this paper, we investigate the application of anomaly detection techniques to cheating detection in an online game (JX2) of VNG company. A method to evaluate the performance of unsupervised anomaly detection techniques was proposed. Six unsupervised anomaly detection algorithms were tested. The experimental results show that the kernel density based technique and ensemble techniques performed best on this game data. Our post analysis helped to identify and eliminate some cheating players in the game. © 2015 ACM.
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Divisions: | Faculties > Faculty of Information Technology |
| Identification Number: | 10.1145/2833258.2833305 |
| Uncontrolled Keywords: | Online systems; Signal detection; Social networking (online); Unsupervised learning; Anomaly detection; Cheating detection; Ensemble techniques; Kernel density; On-line games; Post analysis; Unsupervised anomaly detection; Internet |
| Additional Information: | Conference code: 119164. Language of original document: English. |
| URI: | http://eprints.lqdtu.edu.vn/id/eprint/9886 |
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