New AI Method Outsmarts Security System
Artificial intelligence system can now be trained to crack the CAPTCHA security code, which was originally set up to prevent bots from accessing websites.
A team of researchers at Vicarious—an artificial intelligence firm based in California— developed a neural network that can outsmart CAPTCHA after studying few examples.
CAPTCHA challenges people to prove they are not robots by asking them to identify a few letters and numbers in a distorted fashion. This has been the most efficient security system, as it is believed impossible for bots to possibly crack it.
However, the development of recursive cortical network—the system that can crack the security code presented by CAPTCHA.
Conventional neural networks have nodes to hold new information, which helps build a network and is further used to make judgements on how new data must be dealt with.
Researchers at Vicarious also used a neural network, however, the only difference is that they added something new. They added a software technique known as recursion, which helps learn new data. As a new process is learned, the results are stored into the software. The same process is carried until a solution is obtained.
This system employs the same technique that has long been used to solve mazes. Researchers found that by applying recursion to a neural network, the learning curve of the software could dramatically reduce. Tests were conducted and results demonstrated that the system required five training steps to crack the right code.
This development proves that AI is establishing a strong foothold in every other domain, making life easier and at the same time imposing a looming threat on humankind.
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