The Design Platform for Domestic 90nm SOI Technology

Azernikov, Sergei; Sergei, Kuzmin; Oleg, Vasylkiv; Anton, A Novikov; Dmitry, Savin

doi:10.22184/1993-8578.2018.82.365.368

Cited by 1 publication

(1 citation statement)

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“…Concerning contribution (2), we perform a combinatorial analysis, which accounts for two realistic kinds of attacks: brute-force attacks and attacks based on artificial intelligence. With regard to contribution (3), we conducted a within-subjects study where participants had to solve instances of both face recognition Captchas and instances of two state-of-the-art Captchas: reCAPTCHA provided by Google and the open source project K Captcha [77]. To the best of our knowledge, we provide the first empirical usability study that compares image-based Captchas with text-based Captchas.…”

Section: Introductionmentioning

confidence: 99%

Development of two novel face-recognition CAPTCHAs: A security and usability study

Schryen

Wagner

Schlegel

2016

Computers & Security

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CAPTCHAs are challenge-response tests that aim at preventing unwanted machines, including bots, from accessing web services while providing easy access for humans. Recent advances in artificial-intelligence based attacks show that the level of security provided by many state-ofthe-art text-based CAPTCHAs is declining. At the same time, techniques for distorting and obscuring the text, which are used to maintain the level of security, make text-based CAPTCHAs difficult to solve for humans, and thereby further degrade usability. The need for developing alternative types of CAPTCHAs which improve both, the current security and usability levels, has been emphasized by several researchers.With this study, we contribute to research through (1) the development of two new face recognition CAPTCHAs (Farett-Gender and FarettGender&Age), (2) the security analysis of both procedures, and (3) the provision of empirical evidence that one of the suggested CAPTCHAs (FarettGender) is similar to Google's reCAPTCHA and better than KCAPTCHA concerning effectiveness (error rates), superior to both regarding learnability and satisfaction but not efficiency.

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Section: Introductionmentioning

confidence: 99%