| Title | An Empirical Analysis of CAPTCHA Image Design Choices in Cloud Services |
| Publication Type | Conference Paper |
| Year of Publication | 2022 |
| Authors | Zuo, Xiaojiang, Wang, Xiao, Han, Rui |
| Conference Name | IEEE INFOCOM 2022 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS) |
| Keywords | Analytical models, artificial intelligence, Blogs, CAPTCHA, captchas, cloud computing, composability, Computational modeling, Conferences, explosives, Human Behavior, pubcrawl, recognition, social networking (online) |
| Abstract | Cloud service uses CAPTCHA to protect itself from malicious programs. With the explosive development of AI technology and the emergency of third-party recognition services, the factors that influence CAPTCHA's security are going to be more complex. In such a situation, evaluating the security of mainstream CAPTCHAs in cloud services is helpful to guide better CAPTCHA design choices for providers. In this paper, we evaluate and analyze the security of 6 mainstream CAPTCHA image designs in public cloud services. According to the evaluation results, we made some suggestions of CAPTCHA image design choices to cloud service providers. In addition, we particularly discussed the CAPTCHA images adopted by Facebook and Twitter. The evaluations are separated into two stages: (i) using AI techniques alone; (ii) using both AI techniques and third-party services. The former is based on open source models; the latter is conducted under our proposed framework: CAPTCHAMix. |
| DOI | 10.1109/INFOCOMWKSHPS54753.2022.9798343 |
| Citation Key | zuo_empirical_2022 |
An Empirical Analysis of CAPTCHA Image Design Choices in Cloud Services