We all know that disabling the location, WiFi and GPS data are believed to be the way to stop hackers and advertisers from tracking you. However, the recent research shows an entirely different story.e all know that disabling the location, WiFi and GPS data are believed to be the way to stop hackers and advertisers from tracking you. However, the recent research shows an entirely different story.
Recently, researchers at Princeton University have said that even with GPS, Wifi and GPS services disabled, your smartphone can still track you. This is all because a security breach users external and internal information from your device to find out where it is.
Researchers have used an application known as PinMe to track a device using the sensor information and time zone from a smartphone. When you combine these data with publicly available information like Google Maps, you can estimate the location of the gadget.
The release also that since the sources that produce this data doesn’t require user permission to operate and only called a limited amount of data. This is what makes this method “Virtually undetectable”
The findings were first published in September 2017 and then later it was re-published in February 2018. The data clearly suggests that despite user’s best effort to hide their location it can be tracked.
HOW IT WORKS
The app uses a series of algorithms that locate and track someone by processing information such as a phone's IP address and time zone, along with data from its sensors.
Among other information, phone sensors collect compass details from a gyroscope, air pressure readings from a barometer, and accelerometer data.
HOW THE APP CAN TRACK YOU
To run their experiment, the Princeton researchers collected phone data from three people for one day after installing PinMe on their phones — Galaxy S4 i9500, iPhone 6 and iPhone 6S — running either Android or iOS.
The study subjects traveled by foot, car, train and airplane through cities including Philadelphia, Dallas and Princeton.
PinMe first read each phone's latest IP address and network status to nail down its last Wi-Fi connection.
This narrowed down the search by exposing the phone's most recent location.
The app then used a machine-learning algorithm that had been trained to recognize the difference between walking, driving, train-riding and flying.
It did this by gathering clues from a phone's sensors that exposed crucial information: how fast the person was moving and the direction of travel, how often the person was stopping and then moving again, and the person's altitude.
The discovery could also be used for new ways to navigate - in self driving cars and ship navigation systems, for instance.
Once the person's activity was revealed, PinMe launched one of four additional algorithms targeted for each mode of transportation.
These calculations mapped the route the person was traveling by matching phone data against public information.
Navigational maps available from open-source software OpenStreetMap, for instance, helped PinMe map a phone's specific routes of travel, while elevation maps from Google and the U.S. Geological Survey offered altitude details for every point on Earth.
The app also used detailed temperature, humidity and air pressure reports from The Weather Channel's many weather stations to contextualize a phone's air-pressure-sensor readings, since these are influenced by weather conditions and elevation.
Train and plane flight schedules also offered clues.
When a test subject flew from Philadelphia to Dallas, for example, the app recognized spikes in elevation and acceleration.
This implied that the person was on a plane that was taking off or landing.
The time lapse between the spikes revealed flight duration.
Then, evidence including time-zone data, in combination with weather and airport elevation levels, plus flight timetables, were matched up to correctly identify takeoff and landing airports.