Challenges and Strategies of Automated Captcha Solving using Artificial Intelligence

Abstract

Captchas (Completely Automated Public Turing test to tell Computers and Humans Apart) are widely used to protect online systems from automated bots and spam. However, advancements in Artificial Intelligence (AI) and machine learning have raised concerns about AI's ability to solve captchas effectively. This paper explores the techniques and strategies employed by AI-powered captcha-solving systems, highlighting the potential security implications and the need for more robust captcha designs. It discusses various approaches in AI-based captcha solving, such as deep learning, computer vision, and natural language processing, and evaluates their effectiveness against different types of captchas. Furthermore, the paper proposes countermeasures and recommendations for developing more secure and resilient captcha systems that can withstand AI advancements. The effectiveness of AI in solving captchas can undermine the security measures many online services rely on, potentially allowing automated bots to bypass these protections. By examining the strengths and weaknesses of current captcha designs and AI techniques, this paper aims to contribute to the development of more secure online environments.