New "tapping" sensor could help in fight against fraud
The way a person taps a number into a cash machine or mobile phone, could, according to scientists at the University of Southampton, be used as a means of identification, and prove useful in the battle against fraud.
Professor Neil White of the University of Southampton’s Department of Electronics and Computer Science has developed an inexpensive sensor, which can be integrated into objects of various shapes and sizes, including smart cards and hand-held devices such as mobile phones.
When a person taps on the object, a unique set of waveforms are produced, which can then be programmed and used for verification of the individual’s identity. The next time they go to use the mobile phone or cash machine, they will only be allowed access if their tapping matches their programmed identity.
The initial research has now been completed and Professor White and his team are looking at apply these sensors to a variety of applications in the area of secure systems.
’The concept of identifying people by how they knock or tap is not completely new,’ comments Professor White. ’In the early days of telegraphy, operators could identify each other by how they tapped out messages – but, the concept of using a sensor for identification is novel and our “tapping” sensor is an inexpensive device which can be applied to a wide range of scenarios.’
Media Contact
All latest news from the category: Information Technology
Here you can find a summary of innovations in the fields of information and data processing and up-to-date developments on IT equipment and hardware.
This area covers topics such as IT services, IT architectures, IT management and telecommunications.
Newest articles
First-of-its-kind study uses remote sensing to monitor plastic debris in rivers and lakes
Remote sensing creates a cost-effective solution to monitoring plastic pollution. A first-of-its-kind study from researchers at the University of Minnesota Twin Cities shows how remote sensing can help monitor and…
Laser-based artificial neuron mimics nerve cell functions at lightning speed
With a processing speed a billion times faster than nature, chip-based laser neuron could help advance AI tasks such as pattern recognition and sequence prediction. Researchers have developed a laser-based…
Optimising the processing of plastic waste
Just one look in the yellow bin reveals a colourful jumble of different types of plastic. However, the purer and more uniform plastic waste is, the easier it is to…