Practical robust localization over large-scale 802.11 wireless networks
Proceedings of the 10th annual international conference on Mobile computing and networking
Sextant: a unified node and event localization framework using non-convex constraints
Proceedings of the 6th ACM international symposium on Mobile ad hoc networking and computing
Wireless sensor network localization techniques
Computer Networks: The International Journal of Computer and Telecommunications Networking
Blue-Fi: enhancing Wi-Fi performance using bluetooth signals
Proceedings of the 7th international conference on Mobile systems, applications, and services
Plausible mobility inference from wireless contacts using optimization
Proceedings of the 8th ACM MobiCom workshop on Challenged networks
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We investigate if it is possible to reconstruct a mobile phone's mobility using its Bluetooth contacts with other mobile devices, some of which are equipped with GPS receivers. Our data mining analysis, based on two different data sets, shows that in certain environments coarse grained mobility of a significant portion of mobile phones can be obtained using this technique. For this reason, anyone capable of collecting Bluetooth and, if available, GPS logs for a large population of mobile phones, represents a serious privacy threat for all users with discoverable Bluetooth devices in the area.