Security News > 2022 > February > AI can spot biometric spoofing attacks with ease

Humans have far greater difficulty identifying images of biometric spoofing attacks compared to computers performing the same task, according to research released by ID R&D. The research report finds that computers are more adept than people at accurately and quickly determining whether a photo is of an actual, live person versus a presentation attack.

The study tested humans and machines by presenting them with the most common spoofing techniques: printed photos, videos, digital images, and 2D or 3D masks.

Computers outperformed humans for all types of face biometric spoofing.

Humans had a far lower degree of accuracy for every type of spoofing technique, including misidentifying 30% of photo prints, one of the easiest attack types for fraudsters to execute.

The ability to use AI facial liveness technology to detect fraud saves time and enables human resources to focus on more complex fraud.

"The results are undeniable," said Alexey Khitrov, CEO at ID R&D. "Biometric technology used for identity verification has evolved in recent years to increase speed and accuracy, now significantly outperforming the human eye. Organizations can achieve tremendous efficiencies by using identity verification systems that include a biometric component. However, there is still work to be done and we are excited to see biometrics helping to build consumer trust."

News URL

https://www.helpnetsecurity.com/2022/02/11/computers-identifying-biometric-spoofing/