An investigation of geographic mapping techniques for internet hosts
Proceedings of the 2001 conference on Applications, technologies, architectures, and protocols for computer communications
Towards IP geolocation using delay and topology measurements
Proceedings of the 6th ACM SIGCOMM conference on Internet measurement
Where's that phone?: geolocating IP addresses on 3G networks
Proceedings of the 9th ACM SIGCOMM conference on Internet measurement conference
A model based approach for improving router geolocation
Computer Networks: The International Journal of Computer and Telecommunications Networking
A learning-based approach for IP geolocation
PAM'10 Proceedings of the 11th international conference on Passive and active measurement
IP geolocation databases: unreliable?
ACM SIGCOMM Computer Communication Review
Cellular data network infrastructure characterization and implication on mobile content placement
Proceedings of the ACM SIGMETRICS joint international conference on Measurement and modeling of computer systems
An untold story of middleboxes in cellular networks
Proceedings of the ACM SIGCOMM 2011 conference
Analysis and topology-based traversal of cascaded large scale NATs
Proceedings of the 2013 workshop on Hot topics in middleboxes and network function virtualization
Estimating the number of hosts corresponding to an intrusion alert while preserving privacy
Journal of Computer and System Sciences
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Smartphones connected to cellular networks are increasingly being used to access Internet-based services. Using data collected from smartphones running a popular location-based application, we examine IP address allocation in cellular data networks, with emphasis on understanding the applicability of IP-based geolocation techniques. Our dataset has GPS-based location data for approximately 29,000 cellular network assigned IP addresses in 50 different countries. Using this dataset, we provide insights into the global deployment of cellular networks. For instance, we find that Network Address Translation (NAT) is commonplace in cellular networks. We also find several instances of service differentiation with operators assigning public IP addresses to some devices and private IP addresses to other devices. We also evaluate the error of geolocation databases when determining the position of the smartphones, and find that the error is 100km or more for approximately 70% of our measurements. Further, there is potential for errors at the scale of inter-country and inter-continent distances. We believe this dataset may be of value to the research community, and provide a subset of the dataset to the community.