IP geolocation determines geographical location by the IP address of Internet hosts. IP geolocation is widely used by target advertising, online fraud detection, cyber-attacks attribution and so on. It has gained much more attentions in these years since more and more physical devices are connected to cyberspace. Most geolocation methods cannot resolve the geolocation accuracy for those devices with few landmarks around. In this paper, we propose a novel geolocation approach that is based on common routers as secondary landmarks (Common Routers-based Geolocation, CRG). We search plenty of common routers by topology discovery among web server landmarks. We use statistical learning to study localized (delay, hop)-distance correlation and locate these common routers. We locate the accurate positions of common routers and convert them as secondary landmarks to help improve the feasibility of our geolocation system in areas that landmarks are sparsely distributed. We manage to improve the geolocation accuracy and decrease the maximum geolocation error compared to one of the state-of-the-art geolocation methods. At the end of this paper, we discuss the reason of the efficiency of our method and our future research.

中文翻译：

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基于拓扑发现的具有中间路由器的 IP 地理定位

IP 地理定位通过 Internet 主机的 IP 地址确定地理位置。IP 地理定位广泛用于目标广告、在线欺诈检测、网络攻击归因等。近年来，随着越来越多的物理设备连接到网络空间，它受到了越来越多的关注。大多数地理定位方法无法解决那些周围几乎没有地标的设备的地理定位精度。在本文中，我们提出了一种新的地理定位方法，该方法基于公共路由器作为次要地标（Common Routers-based Geolocation，CRG）。我们通过网络服务器地标之间的拓扑发现来搜索大量常见路由器。我们使用统计学习来研究局部（延迟、跳跃）-距离相关性并定位这些常见路由器。我们定位常见路由器的准确位置并将它们转换为次要地标，以帮助提高我们的地理定位系统在地标分布稀疏的地区的可行性。与最先进的地理定位方法之一相比，我们设法提高了地理定位精度并减少了最大地理定位误差。在本文的最后，我们讨论了我们的方法效率高的原因和我们未来的研究。