Cognitive Based Authentication Protocol for Distributed Data and Web Technologies

Author:

Krzyworzeka Natalia,Ogiela Lidia,Ogiela Marek R.ORCID

Abstract

The objective of the verification process, besides guaranteeing security, is also to be effective and robust. This means that the login should take as little time as possible, and each time allow for a successful authentication of the authorised account. In recent years, however, online users have been experiencing more and more issues with recalling their own passwords on the spot. According to research done in 2017 by LastPass on its employees, the number of personal accounts assigned to one business user currently exceeds 191 profiles and keeps growing. Remembering these many passwords, especially to applications which are not used every week, seems to be impossible without storing them either on paper, in a password manager, or saved in a file somewhere on a PC. In this article a new verification model using a Google Street View image as well as the user’s personal experience and knowledge will be presented. The purpose of this scheme is to assure secure verification by creating longer passwords as well as delivering a ‘password reminder’ already embedded into the login scheme.

Funder

AGH University of Science and Technology

Pedagogical University of Kraków

Publisher

MDPI AG

Subject

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

Reference22 articles.

1. LastPass Reveals 8 Truths about Passwords in the New Password Exposéhttps://blog.lastpass.com/2017/11/lastpass-reveals-8-truths-about-passwords-in-the-new-password-expose/

2. 98 Must-Know Data Breach Statistics for 2021varonis.com/blog/data-breach-statistics/

3. Security and Understanding Techniques for Visual CAPTCHA Interpretation

4. Visual CAPTCHA for Data Understanding and Cognitive Management

5. Visual Cognitive CAPTCHA Based on Expert Knowledge

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1. Cognitive CAPTCHA Password Reminder;Sensors;2023-03-16

2. New Cognitive Deep-Learning CAPTCHA;Sensors;2023-02-20

3. Human-artificial intelligence approaches for secure analysis in CAPTCHA codes;EURASIP Journal on Information Security;2022-12-12

4. CAPTCHA-based Login Scheme in Security Education;Proceedings of the 27th ACM Conference on on Innovation and Technology in Computer Science Education Vol. 2;2022-07-07

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