论文标题
在互联网规模上对网络供应商进行分类
Classifying Network Vendors at Internet Scale
论文作者
论文摘要
在本文中，我们开发了一种方法，通过将网络可见的IP地址映射到设备供应商中，从而在Internet上创建一个大型的，可见的网络设备供应商的数据集。我们使用范围范围的扫描，横幅抢夺在IPv4地址空间上可访问网络可见设备的设备，以及聚类技术将标签分配给160,000多个设备。随后，我们探究了这些设备，并使用从响应中提取的功能来训练可以准确对设备供应商进行分类的分类器。最后，我们证明了如何使用这种方法来通过预测Caida群岛群测量系统的示踪剂中的设备供应商，并随后检查这些跟踪器中的供应商分布。
In this paper, we develop a method to create a large, labeled dataset of visible network device vendors across the Internet by mapping network-visible IP addresses to device vendors. We use Internet-wide scanning, banner grabs of network-visible devices across the IPv4 address space, and clustering techniques to assign labels to more than 160,000 devices. We subsequently probe these devices and use features extracted from the responses to train a classifier that can accurately classify device vendors. Finally, we demonstrate how this method can be used to understand broader trends across the Internet by predicting device vendors in traceroutes from CAIDA's Archipelago measurement system and subsequently examining vendor distributions across these traceroutes.
