Specialists from St. Petersburg State University (SPbSU) and the St. Petersburg Federal Research Center of the Russian Academy of Sciences (SPC RAS) have trained a neural network to identify vulnerabilities in computer tests (CAPTCHA). These texts allow you to determine who is trying to enter the site — a user or a computer bot. This was reported by the press service of St. Petersburg State University.
The neural network was trained on a special dataset — a set of data for machine learning.
The main difference between our approach and analogues is that it allows you to recognize much more complex text tests, which contain more than 20 distortions at once.
The developers emphasized that their method will help improve the security of Internet resources.
Information security specialists can refine the methods of recognition and bypassing the captcha, and on this basis develop improved algorithms for protection against automated attacks.
The new method allowed to recognize 63% of distorted captcha images. This indicates the insecurity of sites using this type of computer texts, the St. Petersburg specialists summarized.
Earlier www1.ru reported that Yandex Cloud presented a new neural network-empath that recognizes emotions in human speech.
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