RouteDetector: Sensor-based Positioning System That Exploits Spatio-Temporal Regularity of Human Mobility
RouteDetector: Sensor-based Positioning System That Exploits Spatio-Temporal Regularity of Human Mobility
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发表时间：
2015-08
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通讯作者：
Takuya Watanabe;Mitsuaki Akiyama;Tatsuya Mori
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作者：
Takuya Watanabe;Mitsuaki Akiyama;Tatsuya Mori
我们开发了一个新颖的、概念验证的侧信道攻击框架，称为RouteDetector，它通过简单的阅读智能设备传感器来识别火车旅行的路线：加速度计、磁力计和陀螺仪。所有这些传感器通常被许多应用程序使用，而不需要任何权限。RouteDetector的关键技术组件可以总结如下。首先，通过将机器学习技术应用于从传感器收集的数据，RouteDetector检测用户的活动，即，“行走”、“在移动的车辆中”或“其它”。“接下来，它从检测到的人类活动序列中提取车辆的出发/到达时间。最后，通过将检测到的车辆的出发/到达时间与从乘客所在国家的所有铁路公司收集的时间表/路线图相关联，它识别出可以用于旅行的潜在路线。我们通过实地实验和广泛的模拟实验，使用172家铁路公司的9，090个火车站的时刻表和路线图，证明了该策略是可行的。
We developed a novel, proof-of-concept side-channel attack framework called RouteDetector, which identifies a route for a train trip by simply reading smart device sensors: an accelerometer, magnetometer, and gyroscope. All these sensors are commonly used by many apps without requiring any permissions. The key technical components of RouteDetector can be summarized as follows. First, by applying a machine-learning technique to the data collected from sensors, RouteDetector detects the activity of a user, i.e., "walking," "in moving vehicle," or "other." Next, it extracts departure/arrival times of vehicles from the sequence of the detected human activities. Finally, by correlating the detected departure/arrival times of the vehicle with timetables/route maps collected from all the railway companies in the rider's country, it identifies potential routes that can be used for a trip. We demonstrate that the strategy is feasible through field experiments and extensive simulation experiments using timetables and route maps for 9,090 railway stations of 172 railway companies.