Advanced Secured Key Generation Using User Face and Hand Geometry

ABSTRACT

       The rapid growth of connected systems has brought significant security concerns, mainly in the field of data protection and user authentication. To address these challenges, this paper presents an innovative security solution combining Quantum Visual Cryptography with Multimodal Biometric Encryption and Blockchain Technology. The system utilizes the advanced cryptographic capabilities of quantum mechanics to enhance data transmission security [1], [6], while incorporating multimodal biometric features, including hand geometry, facial recognition, and gait analysis, to provide robust and accurate user authentication [5], [8]. Moreover, the integration of Blockchain Technology ensures that the data remains protected, securing critical systems [1], [7].

This paper discusses the concept of implementing a quantum visual cryptography system combined with biometric modalities [9], thereby providing a multi-layered approach to security. The efficacy and feasibility of the proposed solution are demonstrated through a comprehensive review of related works, including cryptographic systems, blockchain authentication, and biometric frameworks, validated by recent advances in the field [3], [8], [9]. A new method of multimodal biometric encryption is introduced, with an emphasis on its applicability in real-world systems, thereby ensuring enhanced data security, authentication, and user validation [7], [8]. The proposed system offers a robust framework for securing connected devices, particularly in critical sectors such as healthcare, finance, and smart cities.

Key words: Quantum Visual Cryptography, Multimodal Biometric Encryption, Blockchain Security, User Authentication, Hand Geometry, Face Geometry, Mediapipe, Landmarks, SHA