When we speak to a person, we know straight away how they are from their tone of voice.
Now, our instincts for tone and harmony are being deployed by security experts to detect anomalies in network traffic.
A team of scientists from Carnegie Mellon University, USA, have developed a tool that makes it possible to listen to the exchange of data.
Using ‘sound-mapping’, numerical data sets were transformed into different melodies with various harmonies and bartypes, a process called ‘sonification.’
Abnormalities in data patterns became changes in pitch or time, and were easy for non-musicians to spot. The approach could enable significant clusters of data to be analyzed at little cost.