Cognitive Based Authentication Protocol for Distributed Data and Web Technologies.

Area of Science:

• Computer Science
• Human-Computer Interaction
• Cybersecurity

Background:

• Online users face increasing difficulty remembering numerous passwords.
• The proliferation of online accounts (over 191 per user) exacerbates password recall issues.
• Current password management methods (paper, managers, files) present security and convenience challenges.

Purpose of the Study:

• To present a new verification model for robust and effective online authentication.
• To address the challenge of user password recall in the digital age.
• To enhance security through a novel login scheme that incorporates personalized elements.

Main Methods:

• Development of a new verification model integrating Google Street View images.
• Utilizing user's personal experiences and knowledge as part of the authentication process.
• Designing a login scheme that embeds a 'password reminder' functionality.

Main Results:

• The proposed model aims to create longer, more secure passwords.
• It offers a 'password reminder' integrated directly into the login process.
• The system is designed for effective and robust user authentication.

Conclusions:

• The novel verification model offers a promising solution to password recall difficulties.
• Integrating visual cues like Google Street View can enhance security and user experience.
• This approach contributes to more secure and manageable online verification systems.