HLOC: Hints-based geolocation leveraging multiple measurementframeworks
2021-11-10 10:45 - 12:00 (Europe/Paris) | Paris-Rennes Room (EIT Digital), 23 avenue d'Italie, 75013Paris, France
Dear all, The Internet Measurement reading group will meet onWednesday 10th.

In this session, Maxime Mouchet (Sorbonne Université,LIP6) will present HLOC: Hints-based geolocation leveraging multiplemeasurement frameworks (Quirin Scheitle et al., TMA 2017).

Iencourage you to join us at 10:45 for a virtual coffee break, so thatthe talk beginsat 11:00.
https://telecom-paris.zoom.us/j/98157419805?pwd=[REDACTED]

Slides

Abstract
Geographically locating an IPaddress is of interest for many purposes. There are two major ways toobtain the location of an IP address: querying commercial databases orconducting latency measurements. For structural Internet nodes, such asrouters, commercial databases are limited by low accuracy, while currentmeasurement-based approaches overwhelm users with setup overhead andscalability issues. In this work we present our system HLOC, aiming tocombine 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 183kIPv6 routers. HLOC first extracts location hints from rDNS names, and thenconducts multi-tier latency measurements. Configuration complexity isminimized by using publicly available large-scale measurement frameworkssuch as RIPE Atlas. Using this measurement, we can confirm or disprove thelocation hints found in domain names. We publicly release HLOC'sready-to-use source code, enabling researchers to easily increasegeolocation accuracy with minimum overhead.
