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

Schryen, Guido; Wagner, Gerit; Schlegel, Alexander

doi:10.1016/j.cose.2016.03.007

Cited by 14 publications

(6 citation statements)

References 56 publications

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“…In the implementation process of the proposed CAPTCHA, we considered the essential security requirements that make the CAPTCHA method more secure and eligible [23,24]. The IRemember CAPTCHA is implemented based on these requirements, including distortion levels, challenge type, randomness, time constraints, and size.…”

Section: Iremember Captcha Securitymentioning

confidence: 99%

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IRemember: Memorable CAPTCHA Method for Sighted and Visually Impaired Users

Alnfiai¹,

Altalhi²,

Alawfi³

2022

IJACSA

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A CAPTCHA is used to automatically differentiate between human users and automated software to prevent bots from accessing unauthorized websites. Most proposed CAPTCHAs are not accessible to visually impaired users because of the memorability of the CAPTCHA's numerical digits. Recalling six random spoken digits is a difficult task for any human. Visually impaired users must typically play the audio several times to memorize the spoken digits in the correct order. The authors reviewed existing CAPTCHAs for visually impaired users and concluded that the high cognitive load is more susceptible to response errors due to extensive challenge digits intended for visual users. Thus, the authors proposed a novel method that improves current audio CAPTCHA by enhancing the display of the challenge and improving the memorability of its phraseology. The proposed CAPTCHA presents short common phrases, such as "piece of cake." After hearing or seeing the phrases, the users are required to type the first letter of each word from the presented phrases, such as POC for a piece of cake. The study results of 11 visually impaired users concluded that the memorability and success rate for the IRemember CAPTCHA was 82.72%, compared to the audio CAPTCHA at only 48.18%. It has also demonstrated higher memorability and less workload than the traditional audio method. This research indicates that using common knowledge and experience in the design process for a CAPTCHA method for these users can enhance performance and minimize workload and, hence, error rates.

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Section: Iremember Captcha Securitymentioning

confidence: 99%

“…reCAPGen schemes depend on choosing audio clips from old radio programs, podcasts, and YouTube lectures and adding the amount of noise. Noising minimally affects the human ability to solve the generated audio CAPTCHAs [4].…”

Section: Introductionmentioning

confidence: 99%

IRemember: Memorable CAPTCHA Method for Sighted and Visually Impaired Users

Alnfiai¹,

Altalhi²,

Alawfi³

2022

IJACSA

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“…Process of information sharing usually refers to classified information. The personal verification method is used to reproduce the information [8]. In [9], if users biometric are compromised, it might be impossible or highly difficult to replace it in a particular system.…”

Section: Related Workmentioning

confidence: 99%

Personalized CAPTCHA Using Cognitive Cryptography

Radhika

2021

Advances in Parallel Computing

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Cognitive Cryptography is used to improve personal verification process using the individual’s characteristics. The personal information contained can be biometrics because it is the unique information that identifies the owner. In advanced cryptographic protocol oriented for authentication of user, there is a possibility of using personal characteristics and perception abilities are required to create a new authentication procedure. This paper presents a new approach for creation of advanced multilevel user authentication protocol by using Image grid CAPTCHA codes. Here the user needs the special skills or knowledge while verifying, this is because of cognitive CAPTCHA’s. Instead of generating some random numbers or text while authentication procedure these CAPTCHA’s can be used. In multilevel authentication code the user verification can be realized in several iterations, in which the user attention can be oriented on different visual elements, region of interest or semantic content. This cognitive code will able to identify the recognition abilities of the user. Cognitive codes are having high security feature similar to traditional CAPTCHA’s because of understanding or recognizing the blurred or distorted patterns and also requires background knowledge to experience the connection with evaluated patterns. This feature guarantees the high level of security and allows to get succeeded in authentication process because the user possess specific skill that or not available for computers or answering systems. The traditional authentication protocols are to be involved with human mental capability is the vital idea of the proposed solution.

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“…While the studies we referenced in this section, examined Usable Security evaluation in domains like health, and financial services, others were more component specific. For instance, Realpe et al (2016) examined the Usable Security of user authentication, Eskandari et al (2018) examined Usable Security of bitcoin key management, Green and Smith (2016) examined the usability of security APIs for developers and Schryen et al (2016) examined the usability of CAPTCHAs.…”

Section: Usable Security Evaluationmentioning

confidence: 99%