A significant problem facing cybersecurity is that most client/server identity authentication schemes depend on computational complexity which is recently challenged by the super exponential computational abilities of quantum computers. Quantum cryptography with its quantum mechanics principles solves this problem and provides mathematically un-hackable secure communication for the quantum computers epoch. Biometric authentication has a big challenge related to its protection as it has to be submitted and stored in encrypted form. Unfortunately, most existing biometric cryptosystems rely on classical cryptography, so they are insecure in quantum era. This problem is solved in this paper by introducing a novel three-factor biometric quantum identity authentication scheme combining something you know (password), something you produce (client’s voice), and something you are (client’s face image) is proposed. The scheme consists of two phases: client enrollment and client login/authentication. The methodology is to use in the enrollment phase, two layers of quantum encryption for the client’s voice signal. Each layer consists of two simple quantum circuits of SWAP and C-NOT quantum gates respectively using a different pseudorandom key obtained from a cellular automata (CA) pseudorandom generator. The proposed scheme has many merits. Firstly, it introduces a new design of muti-factors quantum biometric authentication scheme as the biometric voice data is processed, transmitted, and stored at the server database in an encrypted unconditionally secure quantum form which provides parallel processing, real-time communications, inherent level of security against attacks, tamper-proof security and exponential powerful storage capability due to the quantum properties. Secondly, the proposed scheme achieves double-layers security by combing quantum voice encryption and quantum secure direct communication in one process such that the quantum channel eavesdropper cannot obtain any valuable information in case of information leakage. Thirdly, the distribution and management of encryption key problem is solved as there is no need for key exchange prior to communication. Fourthly, it achieves high communication efficiency as although it is a three-factor biometric identity authentication, only one biometric data is sent in quantum encrypted form to the server. Fifthly, the numerical simulations showed that the proposed scheme has large key space, high key sensitivity and more robust performance against different types of attacks compared to other existing classical and quantum voice encryption schemes. Finally, as an identity authentication method, the proposed scheme achieves identification accuracy of 100% with zero False Rejection Rate (FRR) and zero False acceptance rate (FAR) which is perfect.
A significant problem facing cybersecurity is that most client/server identity authentication schemes depend on computational complexity which is recently challenged by the super exponential computational abilities of quantum computers. Quantum cryptography with its quantum mechanics principles solves this problem and provides mathematically un-hackable secure communication for the quantum computers epoch. Biometric authentication has a big challenge related to its protection as it has to be submitted and stored in encrypted form. Unfortunately, most existing biometric cryptosystems rely on classical cryptography, so they are insecure in quantum era. This problem is solved in this paper by introducing a novel three-factor biometric quantum identity authentication scheme combining something you know (password), something you produce (client’s voice), and something you are (client’s face image) is proposed. The scheme consists of two phases: client enrollment and client login/authentication. The methodology is to use in the enrollment phase, two layers of quantum encryption for the client’s voice signal. Each layer consists of two simple quantum circuits of SWAP and C-NOT quantum gates respectively using a different pseudorandom key obtained from a cellular automata (CA) pseudorandom generator. The proposed scheme has many merits. Firstly, it introduces a new design of muti-factors quantum biometric authentication scheme as the biometric voice data is processed, transmitted, and stored at the server database in an encrypted unconditionally secure quantum form which provides parallel processing, real-time communications, inherent level of security against attacks, tamper-proof security and exponential powerful storage capability due to the quantum properties. Secondly, the proposed scheme achieves double-layers security by combing quantum voice encryption and quantum secure direct communication in one process such that the quantum channel eavesdropper cannot obtain any valuable information in case of information leakage. Thirdly, the distribution and management of encryption key problem is solved as there is no need for key exchange prior to communication. Fourthly, it achieves high communication efficiency as although it is a three-factor biometric identity authentication, only one biometric data is sent in quantum encrypted form to the server. Fifthly, the numerical simulations showed that the proposed scheme has large key space, high key sensitivity and more robust performance against different types of attacks compared to other existing classical and quantum voice encryption schemes. Finally, as an identity authentication method, the proposed scheme achieves identification accuracy of 100% with zero False Rejection Rate (FRR) and zero False acceptance rate (FAR) which is perfect.
Biometric authentication has become integral to digital identity systems, particularly in smart cities where it enables secure access to services across governance, transportation, and public infrastructure. Centralised architectures, though widely used, pose privacy and scalability challenges due to the aggregation of sensitive biometric data. Decentralised identity frameworks offer better data sovereignty and eliminate single points of failure but introduce new security concerns, particularly around mutual trust among distributed devices. In such environments, biometric sensors and verification agents must authenticate one another before sharing sensitive biometric data. Existing authentication schemes rely on classical public key infrastructure, which is increasingly susceptible to quantum attacks. This work addresses this gap by proposing a quantum-secure communication protocol for decentralised biometric systems, built upon an enhanced Quantum Key Distribution (QKD) system. The protocol incorporates quantum-resilient authentication at both the classical and quantum layers of QKD: post-quantum cryptography (PQC) is used to secure the classical channel, while authentication qubits verify the integrity of the quantum channel. Once trust is established, QKD generates symmetric keys for encrypting biometric data in transit. Qiskit-based simulations show a key generation rate of 15 bits/sec and 89% efficiency. This layered, quantum-resilient approach offers scalable, robust authentication for next-generation smart city infrastructures.
Biometric authentication has become integral to digital identity systems, particularly in smart cities where it en-ables secure access to services across governance, trans-portation, and public infrastructure. Centralised archi-tectures, though widely used, pose privacy and scalabil-ity challenges due to the aggregation of sensitive biomet-ric data. Decentralised identity frameworks offer better data sovereignty and eliminate single points of failure but introduce new security concerns, particularly around mu-tual trust among distributed devices. In such environments, biometric sensors and verification agents must authenticate one another before sharing sensitive biometric data. Ex-isting authentication schemes rely on classical public key infrastructure, which is increasingly susceptible to quan-tum attacks. This work addresses this gap by propos-ing a quantum-secure communication protocol for decen-tralised biometric systems, built upon an enhanced Quan-tum Key Distribution (QKD) system. The protocol incorpo-rates quantum-resilient authentication at both the classical and quantum layers of QKD: post-quantum cryptography (PQC) is used to secure the classical channel, while authen-tication qubits verify the integrity of the quantum channel. Once trust is established, QKD generates symmetric keys for encrypting biometric data in transit. Qiskit-based sim-ulations show a key generation rate of 15 bits/sec and 89% efficiency. This layered, quantum-resilient approach offers scalable, robust authentication for next-generation smart city infrastructures.
ABSTRACT The intersection of quantum computing and voice technology offers unparalleled security challenges and opportunities. In this paper, we propose quantum voice security as an interdisciplinary research field, bridging vulnerabilities where quantum algorithms breach classical voice protection mechanisms while enabling new defense mechanisms. We define a mathematical model for quantum based threats: (1) As cryptographic collapse by Shor's algorithm, breaching RSA/ECC (elliptic‐curve cryptography) protected voice biometrics and communications in polynomial time, enabling store now, decrypt later (SNDL) attacks; (2) As in adversarial amplification by Grover optimized perturbations in Fock space using entanglement monogamy for cross‐model transferability; (3) In biometric spoofing , by relativistic Quantum Generative Adversarial Networks (RQGANs), producing voiceprints indistinguishable from validated data under trace distance (TD) metrics. Concurrently, we define post‐quantum mitigation solutions: (i) In lattice based cryptosystems , (RLWE (Ring Learning With Errors) with ‐bit strength) safeguarding voiceprint encryption against quantum decoherence; (ii) in quantum based detection , by Wigner function negativity () and holographic entropy bound violation () to identify deepfakes; (iii) In hybrid authentication protocols (e.g., entanglement‐swapped TLS‐QUIC (Transport Layer Security over QUIC)) with composable security . Experimental results on multiple audio datasets ( LibriSpeech , Brahms ) validate quantum vulnerabilities—achieving 99.4% spoof detection accuracy and RLWE fault tolerance against ‐stable noise. Our work integrates lattice cryptography, quantum machine learning (QML), and information theory to reshape voice security models for the quantum age. The proposed RLWE based cryptosystem obtained 98.6% encryption fidelity and 95.2% spoof detection on real‐world datasets, which is 6%–7% more accurate and 10%–12% more reliable against quantum noise compared to classical baselines.
Face recognition systems are widely used for biometric authentication but face two major problems. First, processing high-resolution images and large databases requires extensive computational time. Second, emerging quantum computers threaten to break the encryption methods that protect stored facial templates. Quantum computers will soon be able to decrypt current security systems, putting biometric data at permanent risk since facial features cannot be changed like passwords. This paper presents a solution that uses quantum computing to speed up face recognition while adding quantum-resistant security. It applies quantum principal component analysis (QPCA) and the SWAP test to reduce the computational complexity and implement lattice-based cryptography, which quantum computers cannot break. Experimental evaluation demonstrates a significant overall speedup with improved accuracy. The proposed framework achieves a significant improvement in performance, provides 125-bit security against quantum attacks and compresses the data storage requirements significantly. These results demonstrate that quantum-enhanced face recognition can solve both the speed and security challenges facing current biometric systems, making it practical for real-world deployment as quantum technology advances.
Abstract Authentication of the entity is the initial step toward secure transaction over the internet. The evolution in the nature and types of attacks have forced the commerce industry to move from single factor to multi‐factor authentication technique largely employing biometric codes for human based entity. These biometric codes are unique and therefore, are synonymous to a user identity in the digital world. Hence, safeguarding the Biometric data becomes important for the user. Also, the classical authentication techniques relying on public key encryption schemes are no longer considered safe in the post quantum era. The research in this paper therefore, proposes a quantum based mutual authentication user‐server protocol which employs the principles of quantum mechanics to carry out secure exchange and storage of confidential data. The mathematical formulae validated through demonstration of properties of quantum mechanics verifies the ability of the protocol to work in compromised channel. The detailed security analysis carried out further quantifies the same and builds in confidence to adopt the quantum based mutual authentication protocol for critical user‐server data exchange.
Authentication is one of the significant issues for all kinds of network communications. Most of the authentication protocols designed and implemented so far for entity authentication are based on classical cryptographic techniques to prevent themselves from different types of attacks. These protocols use either password or challenge for authentication. In this article, the design of the proposed quantum secure entity authentication protocol is shown. The proposed protocol is based on the challenge response method. Due to quantum computer capability to break mathematical complexity-based cryptographic techniques, the proposed protocol uses the one-time pad (OTP) to secure itself from attacks, i.e., eavesdropping, reply attack, password guessing attack, man-in-the-middle attack, brute-force attack, quantum computer attack, etc. Security of the proposed protocol was analyzed, and it shows that the proposed protocol may prevent itself from different types of attacks. Further, analysis for quantum Secure was carried out. From the analysis, it is found that if the OTP key is truly random and cannot be reused, then a computer with infinite capacity or quantum computer cannot break the encrypted challenge and response. The proposed protocol may be used for entity authentication for the client, server, process, and user.