Generating an Iris-based Seed for Key-pairs in a Blockchain Platform

Abstract

Authentication is a critical concern in cybersecurity, and the challenge of combining security with ease of use remains a pressing issue. Biometric authentication methods, particularly iris recognition, leverage unique physical characteristics to confirm identity, presenting an effective solution to enhance security over traditional password systems. However, the management of sensitive biometric data requires privacy measures to protect user information from potential misuse. This work proposes a novel Blockchain-based system that utilizes biometric data, specifically iris scans, as a seed for generating cryptographic key-pairs. By employing feature extraction and hashing techniques, the system ensures that sensitive biometric information is neither stored centrally nor accessible in its original form, thereby preserving user anonymity and privacy. The architecture is designed to distribute fragmented biometric data across multiple nodes in the Blockchain, enhancing scalability and security. The system’s functionality is validated through extensive testing scenarios that demonstrate its reliability and robustness in various operational conditions. This research highlights the potential of combining Blockchain technology with biometric authentication to create secure and privacy-preserving identity management solutions, paving the way for applications in sectors such as finance, healthcare, and secure voting systems.

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