New finger imitation tricks out common fingerprint sensorsRead out
Imprint sensor tricked: US researchers have developed the first fingerprint imitation that can fool multiple sensor techniques. The imprint produced by 3D printer is made of conductive silicone and can be worn unobtrusively over your own finger like a fingerstall. However, the subject of the researchers is not criminal energy - they want to help protect sensors against such fraud.
Whether on the smartphone, the touch screen or protected building areas: Today, fingerprint scanners are increasingly controlling access or access. Because the pattern of fingerprints is considered to be largely unique, this personal identifier should make the devices and buildings safer.
Imitation should make scanners safer
But even these sensors can be outwitted, for example, with partial impressions or plastic imitations of real fingers. So far, however, criminals with such finger imprints have sometimes fallen into a trap: some sensors not only optically check the ribs and patterns of the skin, but also their conductivity.
Now, however, Anil Jain and Joshua Engelsma of Michigan State University have developed a fingerprint imitation that can fool both optical and conductivity sensors. This should help to test such scanners in the future and make them safer. "Our fingers are useful in security because they let manufacturers and developers demonstrate that their technology is accurate and robust against spoofing attacks, " says Jain.
Properties of human skin
The wrong fingerling is made of a special silicone, which is similarly conductive as the human skin. For the imitation fingerprint, a shape is created based on an impression taken, for example, from a glass or other smooth surface. In these, the liquid silicone, mixed with skin-colored pigments is poured and cured. The result is a Finger Finger Removable Fake Footprint. displayThis is how the wrong finger is made © Michigan State University
"What makes our imitation unique is that it mimics the basic characteristics of human skin, " explains Jain. "It has the same mechanical, optical and electrical properties as the human finger. Compared to common counterfeiting counterfeits, which usually can only imitate a maximum of two features, this imitation is therefore harder to recognize. "
Jain and his team are now developing fingerprint scanners that do not fall for their imitations. In addition, they are already working on algorithms designed to make the scanners more robust against spoofing attacks.
(Michigan State University, 22.09.2017 - NPO)