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CAPTCHA Robustness: AI Approach for Web Security
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Author(s): Abhishek Sharma (MyConcierge Pte. Ltd., India), Shilpi Sharma (Amity University, Noida, India)and Saksham Gulati (Illinois Institute of Technology, USA)
Copyright: 2022
Volume: 9
Issue: 1
Pages: 14
Source title:
International Journal of Smart Security Technologies (IJSST)
Editor(s)-in-Chief: Yassine Maleh (Sultan Moulay Slimane University, Morocco)and Ahmed A. Abd EI-Latif (Faculty of Science, Menoufia University, Shebin El-Koom, Egypt)
DOI: 10.4018/IJSST.299038
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Abstract
Human verification is important to avoid spamming over the internet. Internet has grown tremendously in the last decade. Introduction to preference personalization make the users experience and attract more people. This has deemed it necessary to verify that some of the actions are carried out by a human rather than a computer program to generation of invalid traffic and prevent fraudulence. Methods like Captcha and ReCaptcha have extensively used to overcome this challenge but with the advancements in machine leaning and artificial intelligence, these techniques have started to become obsolete. So, to address this issue we are proposing a phase based human verification process using a combination of neural network and machine learning.
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