Improving IP Geolocation by Crawling the Internet PoP Level Graph
The geographical location of Internet IP addresses is important for academic research, commercial and homeland security applications. While commercial databases claim to have a very high level of accuracy, the correctness of their databases is questionable. Academic tools, based on delay measurements, were shown to have a large range of error. The authors present a novel algorithm that crawls the Internet PoP level graph to improve the accuracy of geo-location, combining information from both geo-location databases and delay measurements. They show that the results provided by the algorithm are more accurate than geo-location databases information while avoiding the pitfalls of delay measurements' usage.