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News reports of the last few years indicated that several intelligenceagencies are able to monitor large networks or entire portions of the Internetbackbone. Such a powerful adversary has only recently been considered by theacademic literature. In this paper, we propose a new adversary model forLocation Based Services (LBSs). The model takes into account an unauthorizedthird party, different from the LBS provider itself, that wants to infer thelocation and monitor the movements of a LBS user. We show that such anadversary can extrapolate the position of a target user by just analyzing thesize and the timing of the encrypted traffic exchanged between that user andthe LBS provider. We performed a thorough analysis of a widely deployedlocation based app that comes pre-installed with many Android devices:GoogleNow. The results are encouraging and highlight the importance of devisingmore effective countermeasures against powerful adversaries to preserve theprivacy of LBS users.

No Place to Hide that Bytes won't Reveal: Sniffing Location-Based Encrypted Traffic to Track a User's Position