Abstract:

CAPTCHAs (Completely Automated Public Turing test to tell Computers and Humans Apart) have long been utilized as a security mechanism to protect online systems from automated bots and malicious activities. Traditional CAPTCHAs, while effective to some extent, often pose usability challenges for users, leading to frustration and hindering user experience. This research paper explores the concept of hybrid models that combine advanced neural network technologies with human interaction to enhance both the security and usability aspects of CAPTCHAs. The paper discusses the design, implementation, and evaluation of such hybrid models, highlighting their potential to strike a balance between security and user experience in online systems.

Description:

Captcha, Computers, Humans, Network, Digital