A Cheat-Detection Method Based on Fuzzy Synthesis Decision for Aimbot Cheating

Xiang-bin Shi, Xiao-Xue Zhou, Fang Liu, Ying Wang
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Abstract

This paper proposes a cheat-detection method based on Fuzzy Synthesis Decision for aimbot cheating in MMOG. Firstly, the decision set and the factor set that affect the cheating are determined. The factors weight vector which distinguishes the impact of different factors on the cheating is determined by Information Entropy. The membership function for each factor is given according to the factor feature, then the factor decision matrix which links the factor set to the decision set is builded according to the membership function. Finally, the value of player's cheating degree is calculated by Fuzzy Transformation. The simulation results show that the proposed method can detect the aimbot cheating effectively.
基于模糊综合决策的机器人作弊检测方法
提出了一种基于模糊综合决策的MMOG目标机器人作弊检测方法。首先,确定影响作弊行为的决策集和因素集;通过信息熵来确定区分不同因素对作弊影响程度的因素权重向量。根据因子特征给出各因子的隶属度函数,然后根据隶属度函数建立将因子集与决策集联系起来的因子决策矩阵。最后,利用模糊变换计算出玩家的作弊程度。仿真结果表明,该方法可以有效地检测出目标机器人的欺骗行为。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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