An Empirical Analysis of CAPTCHA Image Design Choices in Cloud Services

Xiaojiang Zuo, Xiao Wang, Rui Han

科研成果: 书/报告/会议事项章节会议稿件同行评审

摘要

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.

源语言英语
主期刊名INFOCOM WKSHPS 2022 - IEEE Conference on Computer Communications Workshops
出版商Institute of Electrical and Electronics Engineers Inc.
ISBN(电子版)9781665409261
DOI
出版状态已出版 - 2022
活动2022 IEEE Conference on Computer Communications Workshops, INFOCOM WKSHPS 2022 - Virtual, Online, 美国
期限: 2 5月 20225 5月 2022

出版系列

姓名INFOCOM WKSHPS 2022 - IEEE Conference on Computer Communications Workshops

会议

会议2022 IEEE Conference on Computer Communications Workshops, INFOCOM WKSHPS 2022
国家/地区美国
Virtual, Online
时期2/05/225/05/22

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