HLOC: Hints-Based Geolocation Leveraging Multiple Measurement Frameworks

Scheitle, Quirin; Gasser, Oliver; Sattler, Patrick; Carle, Georg

doi:10.48550/arxiv.1706.09331

Cited by 2 publications

(4 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Scheitle et al developed a method called Hints-Based Geolocation (HLOC) [30], which extracts geo-hints from router DNS names, similar to Octant. It then validates these hints by selecting several RIPE Atlas probes based on the extracted geo-hints and measuring the RTT values between them and the domain.…”

Section: Hybrid Ip Geolocation Methodsmentioning

confidence: 99%

On Improving the Accuracy of Internet Infrastructure Mapping

2023

View full text Add to dashboard Cite

This study identifies a method to create fine-grained multilayer maps of the Internet's structure, which are currently lacking. We begin with an investigation of current techniques for geolocating hosts using passive, active, and hybrid methods. This is followed by a survey of the fundamental problems that IP geolocation techniques must address. The survey points to the obvious difficulties in using Delay-Distance models and suggests that the use of Return Trip Times can lead to highly misleading results. We therefore develop a new procedure that combines state-of-the-art methods to avoid many of the fundamental problems in Internet topology mapping, whilst creating finer-grained internet maps than those currently available. This procedure is tested on the UK infrastructure by conducting a series of tests using distributed measurement points provided by the RIPE Atlas platform. Our results show that we can accurately geolocate routers between two endpoints to create a fine-grained map of the internet infrastructure involved in our measurements. Researchers have long recognized the scarcity of ground truth datasets where IP geolocation is a concern. As a byproduct of our new method reported in this paper, we create a validation dataset that maps hundreds of IP addresses to geo-coordinate landmarks or vantage points, which is highly desirable for IP geolocation research. Finally, we discuss some limitations of this method, and we summarise the next steps toward accurate and complete Internet infrastructure maps.

show abstract

Section: Hybrid Ip Geolocation Methodsmentioning

confidence: 99%

On Improving the Accuracy of Internet Infrastructure Mapping

2023

View full text Add to dashboard Cite

show abstract

“…More recently, Ciavarrini et al [12] presented a framework to understand how the position of landmarks and their distribution affect localization performance. Multiple systems such as Octant [66], Alidade [11], or HLOC [53] combine delay measurement methods with other data sources such as reverse DNS and WHOIS information.…”

Section: Related Workmentioning

confidence: 99%

“…HLOC, which is more recent work by Scheitle et al [53], is similar to DRoP in that it extracts location hints from reverse DNS hostnames, and it validates them using network delay measurements. However, it uses the location hints directly to construct a candidate location list to be verified, whereas DRoP also aims to output specific hostname parsing rules.…”

Section: Related Workmentioning

confidence: 99%

See 1 more Smart Citation

IP Geolocation through Reverse DNS

Dan

Parikh

Davison

2021

ACM Trans. Internet Technol.

View full text Add to dashboard Cite

IP Geolocation databases are widely used in online services to map end-user IP addresses to their geographical location. However, they use proprietary geolocation methods, and in some cases they have poor accuracy. We propose a systematic approach to use reverse DNS hostnames for geolocating IP addresses, with a focus on end-user IP addresses as opposed to router IPs. Our method is designed to be combined with other geolocation data sources. We cast the task as a machine learning problem where, for a given hostname, we first generate a list of potential location candidates, and then we classify each hostname and candidate pair using a binary classifier to determine which location candidates are plausible. Finally, we rank the remaining candidates by confidence (class probability) and break ties by population count. We evaluate our approach against three state-of-the-art academic baselines and two state-of-the-art commercial IP geolocation databases. We show that our work significantly outperforms the academic baselines and is complementary and competitive with commercial databases. To aid reproducibility, we open source our entire approach and make it available to the academic community.

show abstract

HLOC: Hints-Based Geolocation Leveraging Multiple Measurement Frameworks

Cited by 2 publications

References 0 publications

On Improving the Accuracy of Internet Infrastructure Mapping

On Improving the Accuracy of Internet Infrastructure Mapping

IP Geolocation through Reverse DNS

Contact Info

Product

Resources

About