Academics from UK and China have developed a new machine learning algorithm that can break text-based CAPTCHA systems with less effort, faster, and with higher accuracy than all previous methods. This new algorithm -developed by scientists from Lancaster University (UK), Northwest University (China), and Peking University (China)- is based on the concept of GAN, which stands for "Generative Adversarial Network." GANs are a special class of artificial intelligence algorithms that are useful in scenarios where the algorithm doesn't have access to large quantities of training data. Classing machine learning algorithms usually require millions of data points to train the algorithm in performing a task with the desired degree of accuracy. A GAN algorithm has the advantage that it can work with a much smaller batch of initial data points.
Text-based options for verification purposes on websites and other digital forums are going to be a thing of the past, that too, pretty soon. So, get ready to identify objects like cars, parks, and storefronts form CAPTCHA image grids. CAPTCHA is the abbreviation for Completely Automated Public Turing test to tell Computers and Humans Apart. It is a kind of authentication test that is important to differentiate between humans and bots. However, the presence of so many fake accounts especially on social media platforms like Facebook clearly indicates that this mechanism isn't foolproof.
CAPTCHA is security system created and developed to prevent Bots from accessing websites. This security system allows users to prove to be human by recognizing some patterns, distorted type in text or signs which are impossible for machines to complete correctly. This method becomes super successful to overcome the spam and bots from visiting and accessing the data or website. It's a highly secured and advance way where different questions has been asked my AI to identify the real humans, and don't allow the bots for visiting sites.
A group of researchers has developed a computer model that's capable of cracking text-based CAPTCHA keys. Given that the purpose of CAPTCHA is to test whether the entity attempting to access a service is human, this is a considerable step forward for developing computers that think like humans. Text-based CAPTCHAs–the name coming from the phrase Completely Automated Turing Test to Tell Computers and Humans Apart–are often used by web services that might suffer an attack based around an influx of automated users. Account sign-up services and ticketing sites often use them to confirm that visitors are human. CAPTCHA work by displaying letters that are relatively easy for a human read, but hard for a computer that's trained on the standard shapes of the alphabet to decipher.
In this day and age, it's not uncommon for humans to get asked to prove that they are indeed humans. On the internet, people frequently stumble upon Captchas that help in verifying that they are not at all robots. While the feature is quite useful, it could also be very irritating for most people. Google, having the number one Captcha service called reCAPTCHA, understands the pain and annoyance of its users, so it is working on a more advanced version of its service that will not be literally visible to its users. In a recent blog post, the Mountain View giant shared that is developing invisible Captchas for all.