Audio fingerprinting being used to track web users, study finds

A wide-scale study of online trackers carried out by researchers at Princeton University has identified a new technique being used to try to strip web users of their privacy, as well as quantifying the ongoing usage of some better-known tracking techniques.The new technique unearthed by the study is based on fingerprinting a machine’s audio stack via the AudioContext API. So it’s not collecting sound played or recorded on a machine but rather harvesting the audio signature of the individual machine and using that as an identifier to track a web user. They write: In the simplest case, a script from the company Liverail checks for the existence of an AudioContext and OscillatorNode to add a single bit of information to a broader fingerprint. More sophisticated scripts process an audio signal generated with an OscillatorNode to fingerprint the device. This…


Link to Full Article: Audio fingerprinting being used to track web users, study finds

Pin It on Pinterest

Share This

Join Our Newsletter

Sign up to our mailing list to receive the latest news and updates about homeAI.info and the Informed.AI Network of AI related websites which includes Events.AI, Neurons.AI, Awards.AI, and Vocation.AI

You have Successfully Subscribed!