Visible to the public Interactive Video CAPTCHA for Better Resistance to Automated Attack

TitleInteractive Video CAPTCHA for Better Resistance to Automated Attack
Publication TypeConference Paper
Year of Publication2018
AuthorsUsuzaki, S., Aburada, K., Yamaba, H., Katayama, T., Mukunoki, M., Park, M., Okazaki, N.
Conference Name2018 Eleventh International Conference on Mobile Computing and Ubiquitous Network (ICMU)
Date Publishedoct
Keywordsautomated attacks, Bot, bots, CAPTCHA, CAPTCHA resistance, captchas, communication relays, completely automated public turing test, composability, delays, Human Behavior, interactive video type CAPTCHA, invasive software, meah shift, Mice, moving object, object tracking, pubcrawl, relay attack, Relays, target object, target tracking, usability, video signal processing
AbstractA "Completely Automated Public Turing Test to Tell Computers and Humans Apart" (CAPTCHA) widely used online services so that prevents bots from automatic getting a large of accounts. Interactive video type CAPTCHAs that attempt to detect this attack by using delay time due to communication relays have been proposed. However, these approaches remain insufficiently resistant to bots. We propose a CAPTCHA that combines resistant to automated and relay attacks. In our CAPTCHA, the users recognize a moving object (target object) from among a number of randomly appearing decoy objects and tracks the target with mouse cursor. The users pass the test when they were able to track the target for a certain time. Since the target object moves quickly, the delay makes it difficult for a remote solver to break the CAPTCHA during a relay attack. It is also difficult for a bot to track the target using image processing because it has same looks of the decoys. We evaluated our CAPTCHA's resistance to relay and automated attacks. Our results show that, if our CAPTHCA's parameters are set suitable value, a relay attack cannot be established economically and false acceptance rate with bot could be reduced to 0.01% without affecting human success rate.
DOI10.23919/ICMU.2018.8653624
Citation Keyusuzaki_interactive_2018