The address of the homepage has been changed.
Please use the new address!
Game bot detection using user behavioral characteristics
1. Data Set Release
For academic purposes, we are happy to release our Dataset. If you use our dataset for your experiment, please cite our paper.
Dataset Download Link: Download
The dataset contains the following feature and results.
1.1. Data Processing
Player information features
-> (Data aggregation) -> Results
Player actions features
-> (Frequency & ratio analysis) -> Results
Group activities features
-> (Data aggregation) -> Results
Social interaction diversity features
-> (Entropy analysis) -> Results
Network measures features
-> (Clustering) -> Results
1.2. Feature Selection
Best-first Search Weka Result
Greedy-stepwise Search Weka Result
Information Gain Ranking filter Weka Result
1.3. Classification & Evaluation
Decision tree with Feature_Set1 Weka Result
Random forest with Feature_Set1 Weka Result
Logistic regression with Feature_Set1 Weka Result
Naïve Bayes with Feature_Set1 Weka Result
Decision tree with Feature_Set2 Weka Result
Random forest with Feature_Set2 Weka Result
Logistic regression with Feature_Set2 Weka Result
Naïve Bayes with Feature_Set2 Weka Result
Decision tree with Feature_Set3 Weka Result
Random forest with Feature_Set3 Weka Result
Logistic regression with Feature_Set3 Weka Result
Naïve Bayes with Feature_Set3 Weka Result
2. Publication
Kang, A. R., Jeong, S. H., Mohaisen, A., & Kim, H. K. (2016). Multimodal game bot detection using user behavioral characteristics. SpringerPlus, 5(1), 1-19.
You may want to see the following papers that used our dataset!
[1] M. L. Bernardi, M. Cimitile, F. Martinelli, and F. Mercaldo, “An ensemble fuzzy logic approach to game bot detection through behavioural features,” IEEE Int. Conf. Fuzzy Syst., vol. 2018-July, pp. 1–9, 2018. DOI: 10.1109/FUZZ-IEEE.2018.8491615
[2] M. L. Bernardi, M. Cimitile, F. Martinelli, and F. Mercaldo, “A time series classification approach to game bot detection,” in Proceedings of the 7th International Conference on Web Intelligence, Mining and Semantics - WIMS ’17, 2017, pp. 1–11. DOI: 10.1145/3102254.3102263
3. Contact
Ah Reum Kang (armk at hksecurity.net ) or Huy Kang Kim (cenda at korea.ac.kr)