Some peers in the Bitcoin P2P network distributed a huge amount of spam IP addresses during July 2021. These spam IP addresses did not belong to actual Bitcoin peers. We found that the behavior of the spamming peers can be used to determine the number of neighbors of public peers and to find Sybil peers (peers that have multiple addresses). We evaluate the method by running an analysis based on data collected by our monitor nodes and compare the data to a ground-truth based on few peers that we run ourselves. The node degree of public peers is found with high precision and Sybil peers are correctly classified with very high precision and high recall if the spamming peers and the monitor are connected to all Sybil addresses.

中文翻译：

---

比特币P2P网络中基于地址消息估计公共对等节点的节点度和检测女巫对等节点

比特币 P2P 网络中的一些对等点在 2021 年 7 月期间分发了大量垃圾邮件 IP 地址。这些垃圾邮件 IP 地址不属于实际的比特币对等点。我们发现垃圾邮件对等点的行为可用于确定公共对等点的邻居数量并找到 Sybil 对等点（具有多个地址的对等点）。我们通过基于监控节点收集的数据运行分析来评估该方法，并将数据与基于我们自己运行的几个对等点的真实数据进行比较。如果垃圾邮件发送点和监视器连接到所有 Sybil 地址，则公共对等点的节点度以高精度找到并且 Sybil 对等点以非常高的精度和高召回率被正确分类。