Using Deep Learning to Solve Google reCAPTCHA v2's Image Challenges
Publication Date
1-1-2020
Document Type
Conference Proceeding
Publication Title
2020 14th International Conference on Ubiquitous Information Management and Communication (IMCOM)
DOI
10.1109/IMCOM48794.2020.9001774
Abstract
The most popular CAPTCHA service in use today is Google reCAPTCHA v2, whose main offering is an image-based CAPTCHA challenge. This paper looks into the security measures used in reCAPTCHA v2's image challenges and proposes a deep learning-based solution that can be used to automatically solve them. The proposed method is tested with both a custom object- detection deep learning model as well as Google's own Cloud Vision API, in conjunction with human mimicking mouse movements to bypass the challenges. The paper also suggests some potential defense measures to increase overall security and other additional attack directions for reCAPTCHA v2.
Keywords
captcha, deep learning, image processing, internet security, object-detection, reCAPTCHA
Department
Computer Science
Recommended Citation
Dylan Wang, Melody Moh, and Teng Sheng Moh. "Using Deep Learning to Solve Google reCAPTCHA v2's Image Challenges" 2020 14th International Conference on Ubiquitous Information Management and Communication (IMCOM) (2020). https://doi.org/10.1109/IMCOM48794.2020.9001774
