Archive · 31 Oct 2025
IIT Delhi Warns GPS Data Enables Covert Surveillance of User Activity and Environment
Imagine your phone's GPS usually tells you how to get somewhere.
But scientists at IIT Delhi found that the tiny signals your GPS uses can actually tell a lot more about what you're doing!
They created a system called AndroCon that can listen to these GPS signals, like how loud they are or how they change.
This system can figure out if you are sitting, standing, or even lying down.
It can also tell if you are on a train, in a park, or in a crowded place.
Even more surprising, it can guess if a room is full of people or empty.
It can also help draw maps of rooms inside buildings!
This is like a secret way your phone can know what's happening around you, without needing to turn on the camera or microphone.
While this could be used to make helpful apps, it also means that other apps with permission to see your location could learn these private details without you knowing.
IIT Delhi researchers developed AndroCon, a system using fine-grained GPS data to infer user activity and environment.
AndroCon can detect activities like sitting, standing, lying down, and subtle actions like hand-waving with high accuracy.
The system identifies user location contexts such as being inside a metro, on a flight, or in a park.
AndroCon can infer room occupancy and create indoor floor maps with a margin of error under 4 meters.
The research highlights a privacy concern, as apps with location permissions could access this sensitive contextual information without explicit user consent.
- Who
- Researchers at IIT Delhi, led by Professor Smriti R Sarangi and M.Tech student Soham Nag
- What
- Developed a system called AndroCon that uses fine-grained GPS data from Android smartphones to infer user activity, environment, and indoor layouts without needing camera, microphone, or motion sensors.
- When
- The study was conducted over a year.
- Where
- The study spanned 40,000 sq km and involved various Android phones.
- Why
- To demonstrate that existing GPS data accessible to apps can act as a covert sensor, revealing sensitive contextual information and highlighting a potential privacy and security gap.
Potential Benefits
Privacy Concerns
Contextual Information Inference
Potential Benefits
The system can enable exciting possibilities for smart services that adapt to user context, such as apps responding to location or activity.
Privacy Concerns
This fine-grained data could be used by any app with precise location permissions to covertly monitor a user's environment and movements without their knowledge.
Data Usage without Extra Permissions
Potential Benefits
Enables contextual awareness for applications.
Privacy Concerns
Apps can collect intimate details about users and their surroundings by solely utilizing GPS data, without needing access to cameras, microphones, or motion sensors.
- Research Institution
- IIT Delhi
- System Name
- AndroCon
- Study Publication
- ACM Transactions on Sensor Networks
- Accuracy in Detecting Surroundings
- Up to 99%
- Accuracy in Recognizing Human Activities
- Over 87%
- Indoor Floor Map Accuracy
- Under 4 meters margin of error
- Study Duration
- One year
- Study Area
- 40,000 sq km