Cognitive CAPTCHA Password Reminder

Author:

Krzyworzeka Natalia1,Ogiela Lidia2,Ogiela Marek R.1ORCID

Affiliation:

1. Cryptography and Cognitive Informatics Laboratory, AGH University of Science and Technology, 30 Mickiewicza Ave, 30-059 Krakow, Poland

2. Institute of Computer Science, AGH University of Science and Technology, 30-059 Krakow, Poland

Abstract

In recent years, the number of personal accounts assigned to one business user has been constantly growing. There could be as many as 191 individual login credentials used by an average employee, according to a 2017 study. The most recurrent problems associated with this situation faced by users are the strength of passwords and ability to recall them. Researchers have proven that “users are aware of what constitutes a secure password but may forgo these security measures in terms of more convenient passwords, largely depending on account type”. Reusing the same password across multiple platforms or creating one with dictionary words has also been proved to be a common practice amongst many. In this paper, a novel password-reminder scheme will be presented. The goal was that the user creates a CAPTCHA-like image with a hidden meaning, that only he or she can decode. The image must be in some way related to that individual’s memory or her/his unique knowledge or experience. With this image, being presented each time during logging in, the user is asked to associate a password consisting of two or more words and a number. If the image is selected properly and strong association with a person’s visual memory has been linked to it, the chances of recalling a lengthy password he/she created should not present a problem.

Funder

Polish Ministry of Education and Science

AGH University of Science and Technology

Publisher

MDPI AG

Subject

Electrical and Electronic Engineering,Biochemistry,Instrumentation,Atomic and Molecular Physics, and Optics,Analytical Chemistry

Reference18 articles.

1. Cheswick, W. (ACM Queue, 2012). Rethinking Passwords, ACM Queue, Archived from the original on 2019-11-03.

2. le Bras, T. (2015, July 21). Online Overload—It’s Worse Than You Thought. Available online: https://blog.dashlane.com/infographic-online-overload-its-worse-than-you-thought/.

3. Security and Understanding Techniques for Visual CAPTCHA Interpretation;Xhafa;Advances on P2P, Parallel, Grid, Cloud and Internet Computing, Lecture Notes on Data Engineering and Communications Technologies,2018

4. Stainbrook, M., and Caporusso, N. (2019). Advances in Human Factors in Cybersecurity: Proceedings of the AHFE 2018 International Conference on Human Factors in Cybersecurity, 21–25 July 2018, Loews Sapphire Falls Resort at Universal Studios, Orlando, FL, USA, Springer International Publishing.

5. Krzyworzeka, N., Ogiela, L., and Ogiela, M.R. (2021). Cognitive Based Authentication Protocol for Distributed Data and Web Technologies. Sensors, 21.

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