A Fractal-Based Authentication Technique Using Sierpinski Triangles in Smart Devices

Area of Science:

• Computer Science
• Cybersecurity
• Information Security

Background:

• Smart devices increase risks to private information, necessitating robust authentication.
• Text-based passwords are vulnerable to brute force, smudge, and shoulder surfing attacks.
• Graphical Passwords (GPs) offer an alternative but can still be compromised.

Purpose of the Study:

• To propose a novel Fractal-Based Authentication Technique (FBAT) for enhanced device security.
• To leverage fractal geometry, specifically the Sierpinski triangle, for a more secure authentication method.
• To improve resilience against common authentication threats like password guessing and shoulder surfing.

Main Methods:

• Implementation of a novel authentication scheme based on fractal patterns.
• Utilizing the Sierpinski triangle as the core component of the Fractal-Based Authentication Technique (FBAT).
• Analysis of password guessing probability and system resilience against various attacks.

Main Results:

• The proposed FBAT scheme significantly reduces the probability of password guessing.
• The system demonstrates increased resilience against brute force and shoulder surfing attacks.
• Higher fractal levels in FBAT correlate with enhanced security.

Conclusions:

• Fractal-Based Authentication Technique (FBAT) provides a strong and secure alternative to conventional password systems.
• The Sierpinski triangle implementation offers a robust defense against prevalent security threats.
• FBAT enhances user authentication security on smart devices and workstations.