Looking at the domestic market, between 2010 and 2015, the average CAGR of China's face recognition market is 15.9%. In the same period, China's market size accounts for about 10% of the global face recognition market. Compared with the proportion of China's population and the size of the city, although the face recognition market this value is slightly lower, but with the more advanced face recognition technology in China, China's face recognition market usher in the outbreak. But in 2017 CCTV3.15 night exposure face recognition technology there are loopholes in the field test, you can use the software to modify the face image of the face recognition, thus bypassing the network real-name authentication system. This made Xiaobian think of five ways that the security researcher demonstrated at the FIT Internet Security Innovation Conference before.
One person, a car, a driver, the story had to start from a "network about black car" experience.
"The car arrived, the suspicious thing is, take my driver, the car's information, and the phone client does not completely match the show, but in order to quickly go home, I can not attend too much on the car, the result of less than a driver Minutes later, I said to me: "I want to cancel the order, and you'll give me money in a minute." Under my repeated refusal, the driver said I could get me back and let me re-make a taxi go back."
Results When I used the car software again to take a taxi and found to pick me actually that driver! The driver said: "You either call a taxi back, as long as you still use the software about car, hit or my Car! "I was wondering then, why is your car? Why?"
"Originally, there was a fleet of more than 30 black-chauffeurs nearby. Each driver had a bunch of fake driver accounts. Hundreds of accounts were ordered by the same person and dispatched by radio to dispatch the vehicles, so no matter Which number you hit, will transfer me to pick up people, and even if someone else pick you up, the same process. "
"So I was surprised that this taxi app obviously uses face recognition to verify driver information and why these drivers can continue to use fake accounts." After a soft grind, the driver finally revealed that although face recognition sounds like a cow Forced, but they have software that can be easily cracked. "
"That's right, face recognition is so black by a group of black car masters."
The above story is at FIT 2017 Internet Security Innovation Conference, security researcher High Court (Gaoting Yu) in a "face recognition technology application risk," a keynote speech. Then he showed off the scene the driver used to crack face recognition technology software, a photo can be "mouth to mouth" APP.
Is face recognition paper tiger? Crack technology at least five
Please note the two photos of the mouth
Since then, he said, he began to ponder the practical application of face recognition technology and surveyed the market using face recognition technology software, the final result beyond their expectations.
Fancy cracked face recognition technology
Through the analysis, he found that most of the market using face recognition technology software, the identification process are as follows:
Face detection → Live test → Face comparison (and previously uploaded self-photo or passport photos) → Analyze comparison results → Return results (pass or fail)
It is understood that in vivo detection technology that requires users to face blink, nod, mouth and other actions to prevent static image cracking, face recognition of many well-known domestic APP have adopted the technology.
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