An investigation of geographic mapping techniques for internet hosts
Proceedings of the 2001 conference on Applications, technologies, architectures, and protocols for computer communications
Geolocalization on the internet through constraint satisfaction
WORLDS'06 Proceedings of the 3rd conference on USENIX Workshop on Real, Large Distributed Systems - Volume 3
Learning network structure from passive measurements
Proceedings of the 7th ACM SIGCOMM conference on Internet measurement
CHESS: An application-aware space for enhanced scalable services in overlay networks
Computer Communications
Network discovery from passive measurements
Proceedings of the ACM SIGCOMM 2008 conference on Data communication
Internet geolocation: Evasion and counterevasion
ACM Computing Surveys (CSUR)
Octant: a comprehensive framework for the geolocalization of internet hosts
NSDI'07 Proceedings of the 4th USENIX conference on Networked systems design & implementation
Do you know where your cloud files are?
Proceedings of the 3rd ACM workshop on Cloud computing security workshop
Application-Level versus network-level proximity
AINTEC'05 Proceedings of the First Asian Internet Engineering conference on Technologies for Advanced Heterogeneous Networks
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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.