{"id":34484,"date":"2022-05-13T08:21:30","date_gmt":"2022-05-13T08:21:30","guid":{"rendered":"https:\/\/veridas.com\/?p=34484"},"modified":"2024-12-17T10:58:24","modified_gmt":"2024-12-17T10:58:24","slug":"beyond-the-deepfake-14-types-of-presentation-attacks-pa-that-a-facial-biometrics-solution-should-be-able-to-prevent","status":"publish","type":"post","link":"https:\/\/veridas.com\/en\/beyond-the-deepfake-14-types-of-presentation-attacks-pa-that-a-facial-biometrics-solution-should-be-able-to-prevent\/","title":{"rendered":"Presentation attack: what it is and how to prevent it with biometrics"},"content":{"rendered":"\t\t
\n\t\t\t\t
\n\t\t\t\t\t
\n\t\t\t\t
\n\t\t\t\t\t

What are presentation attacks?<\/h2>\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
\n\t\t\t\t\t\t
\n\t\t\t\t\t
\n\t\t\t
\n\t\t\t\t\t\t
\n\t\t\t\t\t\t\t\t\t

A presentation attack<\/strong> involves deceiving a facial recognition system by using fake or manipulated facial images or videos. Attackers employ printed photos, digital images, or lifelike masks to mimic authorized users’ faces, aiming to gain unauthorized access. <\/p>\n

Advanced anti-spoofing measures like liveness detection<\/a> verify that the presented facial data is from a live person, not a static source. By detecting and thwarting presentation attacks, biometric authentication systems<\/a> ensure reliability and protect against unauthorized access.<\/p>\n

Facial biometric systems are achieving a massive insertion<\/strong> in many use cases: digital customer registration, authentication of access to web services, unlocking cell phones, physical access to offices or sporting events, etc.  <\/span><\/p>\n

This spread of technology is inevitably accompanied by new forms of deception to gain fraudulent access to the different use cases mentioned. In the United States alone, the Federal Trade Commission<\/a> (FTC; Federal Trade Commission) estimated 2,331.2 million dollar losses due to identity fraud in 2021, doubling the figure estimated for 2019. According to the FTC, identity fraud accounted for more than 50% of the total reported cases of fraud<\/a>.<\/span><\/p>\n

Not that fraud is anything new; any process related to a person’s identity, using biometrics or not, is targeted by the malice of a few to gain access to usage rights that don’t belong to them. <\/span><\/p>\n

And with biometrics, it’s not going to be any different, but the way the fraud is carried out is. This post aims to answer some questions about fraud in a facial biometric system and how we do technology to protect against it. <\/strong><\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t

\n\t\t\t\t\t\"New<\/a><\/span>