DeepMasterPrints Developed To Access Smartphones Via Hacking

fingerprint sensor

Researchers at New York University and Michigan State University have invented new artificial fingerprints, which they call DeepMasterPrints for hacking fingerprint sensor-enabled smartphones.

According to a report by CNBC, the fake fingerprints, with the help of machine learning double as a ‘Masterkey’ to access one out of three smartphones which come with fingerprint scanners.

The researchers involved in the new development are Philip Bontrager, Aditi Roy, Julian Togelius, Nasir Memon, and Arun Ross.

It is suggested that the fingerprint sensing technology used currently doesn’t recognize the fingerprints fully and instead store partial fingerprint images on the system, which the users assume to be stitched into multiple pictures.

The researchers stated, “If you store images for three of your fingers, the device may keep around 30 partial fingerprints. With MasterPrints you have to create a few — five or ten and I’m in business.”

Additionally, the report further suggests that the new tech can access a sufficient amount of smartphones and could prove to be a ‘profitable scam.’

Evidently, with the introduction of fingerprint scanning, various companies have used the technology to maintain the security of the users.

DeepMasterPrints could prove to be a threat to the various measures taken by companies for security, given security breach is something quite prevalent.

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