RouteDetector: Sensor-based positioning system that exploits spatio-temporal regularity of human mobilty

Takuya Watanabe, Mitsuaki Akiyama, Tatsuya Mori

研究成果: Paper査読

2 被引用数 (Scopus)

抄録

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.

本文言語English
出版ステータスPublished - 2015
イベント9th USENIX Workshop on Offensive Technologies, WOOT 2015 - Washington, United States
継続期間: 2015 8 102015 8 11

Conference

Conference9th USENIX Workshop on Offensive Technologies, WOOT 2015
CountryUnited States
CityWashington
Period15/8/1015/8/11

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Hardware and Architecture
  • Information Systems
  • Software

フィンガープリント 「RouteDetector: Sensor-based positioning system that exploits spatio-temporal regularity of human mobilty」の研究トピックを掘り下げます。これらがまとまってユニークなフィンガープリントを構成します。

引用スタイル