Abstract
Nowadays, lots of applications and websites utilize text-based captchas to partially protect the authentication mechanism. However, in recent years, different ways have been exploited to automatically recognize text-based captchas especially deep learning-based ways, such as, convolutional neural network (CNN). Thus, we have to enhance the text captchas design. In this paper, using the features of the randomness for each encoding process in visual cryptography (VC) and the visual recognizability with naked human eyes, VC is applied to design and enhance text-based captcha. Experimental results using two typical deep learning-based attack models indicate the effectiveness of the designed method. By using our designed VC-enhanced text-based captcha (VCETC), the recognition rate is in some degree decreased.
Highlights
Nowadays, lots of applications and websites, including Baidu, Sina, Jingdong and many others, utilize text-based captchas to partially protect the authentication mechanism from certain types of attacks [1].Text-based captchas belong to visual captchas
The randomness in visual cryptography (VC) and its visual recognizability with naked human eyes will be applied in this paper to design and enhance traditional text-based captcha, where the randomness is used to resist recognition and visual recognizability is served for humans
Due to the features of the randomness for each encoding process in VC and its visual recognizability with naked human eyes, our designed VC-enhanced text-based captcha (VCETC) can in some degree enhance traditional captchas to resist some deep learning-based ways even our designed VCETC are used as the training set
Summary
Lots of applications and websites, including Baidu, Sina, Jingdong and many others, utilize text-based captchas to partially protect the authentication mechanism from certain types of attacks [1]. Due to the features of the randomness for each encoding process in visual cryptography (VC) and its visual recognizability with naked human eyes, VC is applied to design and enhance text-based captcha. The randomness in VC and its visual recognizability with naked human eyes will be applied in this paper to design and enhance traditional text-based captcha, where the randomness is used to resist recognition and visual recognizability is served for humans. By utilizing the features of the randomness for each encoding process in visual cryptography (VC) and the visual recognizability with naked human eyes, we will apply VC to design and enhance traditional text-based captcha. Experimental results using two typical deep learning-based attack models indicate the effectiveness of the designed method.
Sign-in/Register to view highlights & summary Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
