APPLICATIONS OF QUANTUM COMPUTING IN BIOMETRIC INFORMATION SECURITY

Yesmagambetova G. Aktayeva A. Saginbayeva K. Pleskachev D. Kussainova U. Daurenova A. Baizhanon I. Umbetov A.
June 2025 Little Lion Scientific

Journal of Theoretical and Applied Information Technology
2025 #103 Issue 12 5213 - 5226 pp.

Quantum computing is based on the principles of quantum mechanics and uses quantum bits (qubits) that can exist in a state of superposition and entanglement. They promise a revolution in computing and information security. Firstly, using quantum algorithms in information technology opens up new possibilities for processing and protecting data. Secondly, biometric information security relies on a persons unique physical and behavioural characteristics, such as fingerprints, facial recognition, iris, voice, and others. These methods provide a high level of security due to their uniqueness and difficulty in counterfeiting. Combining the principles of quantum computing and biometric information security allows us to identify their similarities and integration capabilities to create reliable systems for protecting confidential information. While previous research in biometric information security has focused on individual aspects of decision-making to ensure the information security of educational institutions when using facial recognition technologies, this work presents a comprehensive framework combining several components into a single unified system for using various quantum cryptography algorithms. The main advantages of using quantum computing in object and image detection include accelerating the computational process using quantum components, robustness at different object angles, suitability for moving or static conditions, cryptographic noise immunity, and the ability to work in real practical conditions. The advantages of the quantum cryptographic scheme for face recognition technologies include ease of implementation, high cryptography security, the ability to parallelise the processes of encoding and decoding images, and the fact that complex computer equipment is not required. The study results provide a solid foundation for developing hybrid quantum computing and biometric information security technologies. Using the possibility of hybrid computing opens up new horizons for the standardisation and public dissemination of new technologies, and such a combination ensures reliable protection of confidential information and stimulates further research aimed at improving data protection methods in the context of the rapid development of the digital world.

cybersecurity , multi-modal biometric technology , pattern recognition , quantum algorithm , Qubit

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Mongolian University of Science and Technology, Ulaanbaatar, Mongolia
Department of Information systems and Informatics, A.Myrzakhmetov Kokshetau University, Kokshetau, Kazakhstan
Department of Information Systems, S.Seifullin Kazakh Agro Technical Research University, Astana, Kazakhstan
Department of Physics and Mathematics School, Nazarbayev Intellectual Lyceum, Almaty, Kazakhstan

Mongolian University of Science and Technology
Department of Information systems and Informatics
Department of Information Systems
Department of Physics and Mathematics School

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