This paper studies the average trapping time of honeypots on weighted random fractal networks. We introduce three parameters: the node-weight factor $w$, the edge-weight factor $r$ and the connecting probability $p$, making our model closer to real networks. We analyze the movements of the attacker on the network, and get the explicit and asymptotic expressions of the average trapping time for different ranges of parameters.

中文翻译：

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加权随机分形网络上蜜罐的平均捕获时间

本文研究了蜜罐在加权随机分形网络上的平均捕获时间。我们引入三个参数：节点权重因子$w$, 边缘权重因子$r$和连接概率$p$，使我们的模型更接近真实网络。我们分析了攻击者在网络上的运动，得到了不同参数范围内平均捕获时间的显式和渐近表达式。