All of this data can be accessed by any app you download without the type of permissions required to access your contact lists, photos, or GPS. Previous attempts to track users with non-critical data have seen only marginal success. This newly discovered method requires none of these. First, for this particular privacy attack to work, the cellphone owner must install an app to gather the information.
But in a true threat scenario, the app could be disguised as anything. The 2, lines of code needed for the attack could be buried in something as innocuous seeming as a flashlight app for some reason, people keep downloading these apps, even though they almost always contain malware.
PS5 restock updates. Black Friday deals. Windows Windows. Most Popular. New Releases. Desktop Enhancements. Networking Software. Trending from CNET. However, the discovery could also be used for new ways to navigate - in self driving cars and ship navigation systems, for instance. PinMe's developers already are working on ways for people to defend themselves against it, said Jha, whose research focus is on the security of the 'internet of things,' a phrase that describes the increasingly digital products that power our daily activities.
To run their experiment, the Princeton researchers collected phone data from three people for one day after installing PinMe on their phones — Galaxy S4 i, 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. 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. When a test subject flew from Philadelphia to Dallas, for example, the app recognized spikes in elevation and acceleration.
What's new in PinMe! Load comments. If it is faster with 90 degrees turns, the user probably is going by car, motorbike or bicycle. Higher speeds and large curves indicate the use of a train or an airplane if the barometer indicates reduced pressure, it is an airplane.
0コメント