| Title | A Survey of Research on CAPTCHA Designing and Breaking Techniques |
| Publication Type | Conference Paper |
| Year of Publication | 2019 |
| Authors | Zhang, Yang, Gao, Haichang, Pei, Ge, Luo, Sainan, Chang, Guoqin, Cheng, Nuo |
| Conference Name | 2019 18th IEEE International Conference On Trust, Security And Privacy In Computing And Communications/13th IEEE International Conference On Big Data Science And Engineering (TrustCom/BigDataSE) |
| Keywords | attack methods, audio/video based, CAPTCHA, CAPTCHA breaking techniques, CAPTCHA categories, CAPTCHA designing techniques, captchas, Completely Automated Public Turing Test to Tell Computers and Humans Apart, composability, Computer science, Google, Human Behavior, image segmentation, image-based, pubcrawl, security, security mechanism, security of data, Speech recognition, text-based, usability |
| Abstract | The Internet plays an increasingly important role in people's lives, but it also brings security problems. CAPTCHA, which stands for Completely Automated Public Turing Test to Tell Computers and Humans Apart, has been widely used as a security mechanism. This paper outlines the scientific and technological progress in both the design and attack of CAPTCHAs related to these three CAPTCHA categories. It first presents a comprehensive survey of recent developments for each CAPTCHA type in terms of usability, robustness and their weaknesses and strengths. Second, it summarizes the attack methods for each category. In addition, the differences between the three CAPTCHA categories and the attack methods will also be discussed. Lastly, this paper provides suggestions for future research and proposes some problems worthy of further study. |
| DOI | 10.1109/TrustCom/BigDataSE.2019.00020 |
| Citation Key | zhang_survey_2019 |
A Survey of Research on CAPTCHA Designing and Breaking Techniques