I know what you did on your smartphone: Inferring app usage over encrypted data traffic

摘要: Smartphones and tablets are now ubiquitous in many people's lives used throughout the day public places. They often connected to a wireless local area network (IEEE 802.11 WLANs) rely on encryption protocols maintain their security privacy. In this paper, we show that even presence of encryption, an attacker without access keys is able determine users' behavior, particular, app usage. We perform attack using packet-level traffic analysis which use side-channel information leaks identify specific patterns packets regardless whether they encrypted or not. just by collecting analyzing small amounts traffic, one can what apps each individual smartphone user vicinity using. Furthermore, more worrying, these privacy at risk compared online services through browsers mobile devices. This due fact generate identifiable patterns. Using random forests classify apps, noise, with great accuracy. Given most provide native may be identified method, attacks represent serious threat