GPS signals

A recent investigation by IIT Delhi found that Android applications with precise location access can gather extensive information about users, including whether they are indoors or outdoors, the presence of crowded environments, and details about room layouts and activities, without using the phone’s camera or microphone. The study, led by MTech student Soham Nag and Professor Smruti R Sarangi, utilized a system called AndroCon, which analyzes low-level GPS signals to detect user activity and contextual information. AndroCon achieved up to 99% accuracy in identifying surroundings and over 87% accuracy in recognizing human activities, including subtle gestures. The research highlights significant privacy risks, as applications with fine-grained location permissions can extract sensitive data without user consent. The findings were published in the ACM Transactions on Sensor Networks.