Journal of System Simulation
Abstract
Abstract: Game cheating endangers the normal cyber game seriously. The bottlenecks of the anti-cheating technology are the low efficiency and its too much dependence on the signature matching. Not relying on the signature matching, a highly efficient game cheating detection system is proposed, which models by process trees. This can save the storage space without affecting the detection results. The system is tested with the cheating softwares on the popular cyber game and the fusion efficiency of the update model is evaluated. The results show that the storage space reduction rate can reach about 60%, which means effectiveness and feasibility of the system framework.
Recommended Citation
Hong, Zheng; Cheng, Ye; Deng, Wenxuan; and Li, Pan
(2020)
"A Game Cheating Detection System Based on Petri Nets,"
Journal of System Simulation: Vol. 32:
Iss.
3, Article 13.
DOI: 10.16182/j.issn1004731x.joss.18-0243
Available at:
https://dc-china-simulation.researchcommons.org/journal/vol32/iss3/13
First Page
455
Revised Date
2018-10-18
DOI Link
https://doi.org/10.16182/j.issn1004731x.joss.18-0243
Last Page
463
CLC
TP391.9
Recommended Citation
Zheng Hong, Ye Cheng, Deng Wenxuan, Pan Li. A Game Cheating Detection System Based on Petri Nets[J]. Journal of System Simulation, 2020, 32(3): 455-463.
DOI
10.16182/j.issn1004731x.joss.18-0243
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