Fortifying Cybersecurity with Iris Generated One-Time Passwords
U Kumaran, B. MUTHU SENTHIL, Vikram Sundaram, Abhinav Singh Chauhan, V. P. Meena, Ahmad Taher Azar, Nashwa Ahmad Kamal, Chakib Ben Njima
Abstract
An innovative iris-based model is developed to generate highly secure one-time passwords for bolstering authentication systems against cyber threats. Strategically harnessing biometric iris data and diverse character arrays, robust customizable-length passwords are created. Rigorous security assessments verify the solution’s exceptional resilience against cracking attempts and compromise risks. Additionally, demonstrated superiority over conventional password generation validates the promising potential. The proposed iris-driven technique pioneers a reliable framework for advancing biometric password security through dynamic, personalized credentials offering reinforced protections. This research marks a pivotal exploration into biometric cryptosystems via iris recognition for authentication, heralding more robust password frameworks to counteract escalating attacks.