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ABSTRACT
Geolocation of Internet hosts enables a diverse and interesting new class of location-aware applications. Previous measurement-based approaches use reference hosts, called landmarks, with a well-known geographic location to provide the location estimation of a target host. This leads to a discrete space of answers, limiting the number of possible location estimates to the number of adopted landmarks. In contrast, we propose Constraint-Based Geolocation (CBG), which infers the geographic location of Internet hosts using multilateration with distance constraints, thus establishing a continuous space of answers instead of a discrete one. CBG accurately transforms delay measurements to geographic distance constraints, and then uses multilateration to infer the geolocation of the target host. Our experimental results show that CBG outperforms the previous measurement-based geolocation techniques. Moreover, in contrast to previous approaches, our method is able to assign a confidence region to each given location estimate. This allows a location-aware application to assess whether the location estimate is sufficiently accurate for its needs.
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CITED BY 4
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Bernard Wong , Ivan Stoyanov , Emin Gün Sirer, Geolocalization on the internet through constraint satisfaction, Proceedings of the 3rd conference on USENIX Workshop on Real, Large Distributed Systems, p.1-1, November 05, 2006, Seattle, WA
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Brian Eriksson , Paul Barford , Robert Nowak , Mark Crovella, Learning network structure from passive measurements, Proceedings of the 7th ACM SIGCOMM conference on Internet measurement, October 24-26, 2007, San Diego, California, USA
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