Biological Probe Technology
Generally speaking, biological probe technology refers to the user's biological characteristics that can be collected by smart terminal equipment, such as fingerprints, sound waves, human faces, iris and other unique attributes of biological entities, and user biological behavior characteristics, such as magnetic field sensors in terminal equipment, User operating habits information acquired by acceleration sensors, gyroscopes, etc.
Since the user's biometric information is difficult to steal, and the cost of imitation and fraud is high, the use of bio-probe technology for user identification can more accurately realize risk prevention and control. At present, most of the risk control-related products put into use are human faces combined with device fingerprints for risk control judgment, and less attention is paid to the collection and use of user biological behavior characteristics.
Status of use
The following are related products related to biological probes:
- Tongdun-Xiaodun Security-Terminal Risk Perception-Abnormal User Behavior Screening (Industry Unicorn, established in 2013)
https://sec.xiaodun.com/product/terminalPerception#1 - Ali Security-Biometrics-Living Body Recognition (somewhat similar to face recognition, except that Ali does not have other biological probe related products)
https://s.alibaba.com/technology/bio - Netease Easy Shield-Behavioral Verification Code-Biological Behavior Model (Man-machine detection is done in the form of a verification code, and similar explicit verification codes can be considered to detect whether the user is the user)
https://dun.163.com/product/captcha - Extreme experience-distinguish between human and machine through biological behavior recognition (in-depth research and trajectory analysis of biological behavior data through deep learning can directly identify some abnormal behavior patterns. At the same time, the behavior data can be added to the graph association analysis network as a node. The data of the graph structure is richer, and the expression of similarity and aggregation is more obvious and accurate.)
https://www.geetest.com/GCN