HLOC：利用多个测量框架的基于Hints的地理定位
HLOC: Hints-Based Geolocation Leveraging Multiple Measurement Frameworks
摘要：
在地理上定位IP地址对于许多目的是有意义的。获取IP地址的位置有两种主要方法：查询商业数据库或进行延迟测量。对于结构化的互联网节点，如路由器，商业数据库是有限的低精度，而目前的测量为基础的方法压倒用户的设置开销和可扩展性问题。在这项工作中，我们提出了我们的系统Hacking，旨在结合数据库的易用性与延迟测量的准确性。我们评估了一个全面的路由器数据集的1.4M IPv4和183k IPv6路由器上的障碍。Hacker首先从rDNS名称中提取位置提示，然后进行多层延迟测量。通过使用公开可用的大规模测量框架（如RIPE Atlas），可以最大限度地降低配置复杂性。使用此测量，我们可以确认或反驳在域名中发现的位置提示。我们公开发布了HALGOR的即用型源代码，使研究人员能够以最小的开销轻松提高地理定位精度。
英文摘要：
Geographically locating an IP address is of interest for many purposes. There are two major ways to obtain the location of an IP address: querying commercial databases or conducting latency measurements. For structural Internet nodes, such as routers, commercial databases are limited by low accuracy, while current measurement-based approaches overwhelm users with setup overhead and scalability issues. In this work we present our system HLOC, aiming to combine the ease of database use with the accuracy of latency measurements. We evaluate HLOC on a comprehensive router data set of 1.4M IPv4 and 183k IPv6 routers. HLOC first extracts location hints from rDNS names, and then conducts multi-tier latency measurements. Configuration complexity is minimized by using publicly available large-scale measurement frameworks such as RIPE Atlas. Using this measurement, we can confirm or disprove the location hints found in domain names. We publicly release HLOC's ready-to-use source code, enabling researchers to easily increase geolocation accuracy with minimum overhead.
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