In the face of escalating threats against conventional cryptographic authentication systems, quantum random number generators (QRNGs) offer a promising path toward unforgeable and unpredictable security primitives. This paper presents a quantum randomness-driven identity authentication framework that leverages device-independent QRNGs to generate ephemeral, irreproducible identity tokens. Unlike classical pseudo-random methods, QRNG-based schemes produce entropy from fundamental quantum phenomena, ensuring resistance to reverse engineering and side-channel attacks. The proposed protocol integrates quantum tokens into a mutual challenge–response structure, employs lightweight post-processing via entropy extractors, and supports deployment in low-latency IoT and edge computing scenarios. Experimental evaluations using QRNG-augmented authentication on simulated identity datasets demonstrate marked improvements in authentication unpredictability, collision resistance, and robustness under adversarial impersonation attempts. This work provides an end-to-end blueprint for embedding quantum entropy into next-generation identity frameworks, bridging the gap between quantum hardware and practical cybersecurity applications.
In the face of escalating threats against conventional cryptographic authentication systems, quantum random number generators (QRNGs) offer a promising path toward unforgeable and unpredictable security primitives. This paper presents a quantum randomness-driven identity authentication framework that leverages device-independent QRNGs to generate ephemeral, irreproducible identity tokens. Unlike classical pseudo-random methods, QRNG-based schemes produce entropy from fundamental quantum phenomena, ensuring resistance to reverse engineering and side-channel attacks. The proposed protocol integrates quantum tokens into a mutual challenge–response structure, employs lightweight post-processing via entropy extractors, and supports deployment in low-latency IoT and edge computing scenarios. Experimental evaluations using QRNG-augmented authentication on simulated identity datasets demonstrate marked improvements in authentication unpredictability, collision resistance, and robustness under adversarial impersonation attempts. This work provides an end-to-end blueprint for embedding quantum entropy into next-generation identity frameworks, bridging the gap between quantum hardware and practical cybersecurity applications.
One of the solutions to the problem of secure communication is the Quantum Random Number Generators (QRNGs) which generate true randomness based on quantum mechanical principles.QRNGs are different from conventional pseudo random number generator in that they use quantum uncertainty to generate outputs which are very unpredictable.This work attempts to examine different QRNG architectures, study the possible integration of cryptographic frameworks with these architectures and highlight potential vulnerabilities in the integration of cryptographic frameworks with QRNG architectures.Post-processing techniques, i.e.Zero-Phase Component Analysis (ZPCA) and neural network based techniques are also studied to increase entropy and suppress environmental noise in QRNG systems.Key findings show that system jitter models based QRNG architectures are more scalable and less expensive for use in real world applications.Additionally, incorporating cryptographic protocols with the QRNGs endows them with the ability to resist quantum threats, and hence, provide better key distribution in the secure IoT communication frameworks.However, as security problems such as side channel attacks and hardware manipulation are still big issues.It also points out some of the emerging research trends including hybrid QRNG architectures, i.e., QRNG with classical PRNG to increase the entropy rate.As such, the proposed methodologies attempt to enhance QRNG scalability, security, and energy efficiency in cloud infrastructures, in mobile systems and in critical security environments.The advancement of these technologies will assume a crucial function in the advancement of quantum-safe frames for current advanced computerized foundation.
The emergence of quantum computing is expected to break many conventional cryptographic algorithms currently used for authentication and secure communication. Existing security mechanisms in Next Generation Networks (NGNs), including 5G, IoT, smart healthcare, and cloud-based systems, are increasingly vulnerable to future quantum attacks. This research presents a lightweight and efficient Post-Quantum Cryptography (PQC) based authentication framework specifically designed for next generation network environments. The proposed framework combines quantum-resistant cryptographic techniques with optimized authentication procedures to provide secure identity verification, confidential communication, and attack resistance with minimal computational complexity. The model emphasizes reduced overhead, faster authentication response, and scalability for resource-constrained devices. Security analysis shows that the framework can effectively defend against replay attacks, impersonation attacks, session hijacking, and quantum-based cryptanalytic threats. Experimental evaluation indicates that the proposed approach achieves improved security performance while maintaining low latency and reduced resource consumption, making it suitable for practical deployment in future intelligent communication networks.
ABSTRACT The rapid advancement of quantum computing poses a serious threat to classical authentication mechanisms that rely on computational hardness assumptions and software-based randomness. Traditional authentication systems such as passwords, one-time passwords (OTPs), and public-key cryptography depend heavily on pseudorandom number generators (PRNGs) and classical cryptographic algorithms, many of which are vulnerable to future quantum attacks. This paper proposes and analyzes a Hybrid Post-Quantum Secure Authentication system using Quantum-Generated One-Time Tokens (Q-OTT). The proposed approach combines true quantum randomness obtained from Quantum Random Number Generators (QRNGs) with post-quantum cryptographic (PQC) algorithms for token protection and verification. A detailed comparison between classical authentication systems and the hybrid Q-OTT approach is presented in terms of randomness, security, entropy, and quantum resistance. The study demonstrates that hybrid Q-OTT systems offer significantly enhanced security against both classical and quantum adversaries, at the cost of moderate infrastructure requirements. Keywords Post-Quantum Cryptography, Quantum Random Number Generator, One-Time Token, Authentication Systems, Quantum Security, Hybrid Authentication
The emergence of quantum computing threatens to break widely deployed cryptographic primitives, compromising conventional authentication systems. Our work introduces a Hybrid Quantum Authentication Model (HQAM) that harnesses quantum technologies to enhance security without requiring quantum communication infrastructure. HQAM strategically integrates quantum entropy from Quantum Random Number Generators (QRNGs) across critical security components including digital fingerprints, dynamic nonces, and cryptographic keys while employing post-quantum cryptography as its primary configuration. The framework utilizes NIST-standardized algorithms (CRYSTALS-Kyber and CRYSTALS-Dilithium) for quantum-resistant assurance while maintaining RSA for legacy compatibility. Formal verification using ProVerif demonstrates HQAM’s resilience against impersonation and replay attacks, while additional mechanisms enable secure credential recovery. By combining certified quantum randomness with standardized post-quantum cryptography, HQAM provides a formally verified crypto-agile framework that ensures a robust authentication in both current and quantum-threatened environments.
The rapid expansion of the Internet of Things (IoT) has introduced unprecedented cybersecurity challenges, as traditional cryptographic methods struggle to provide both efficiency and quantum resistance in resource-constrained environments. This research introduces Adaptive Quantum Cryptography (AQC), a novel security framework that integrates Quantum Key Distribution (QKD), Post-Quantum Cryptography (PQC), Quantum Random Number Generators (QRNGs), and AI-driven dynamic adaptation to safeguard IoT networks against evolving cyber threats. Unlike classical encryption techniques such as RSA and ECC, which are vulnerable to quantum attacks, AQC leverages quantum mechanical principles—such as superposition, entanglement, and the no-cloning theorem—to ensure provably secure key exchange and data encryption. The proposed AQC system dynamically adjusts cryptographic protocols based on real-time network conditions, computational resources, and threat intelligence, optimizing security without imposing excessive overhead. Experimental evaluations demonstrate that AQC achieves a 70% improvement in key exchange efficiency, a 50% reduction in computational load, and a 95% resilience rate against quantum attacks compared to conventional encryption methods. Additionally, the integration of QRNGs enhances cryptographic key entropy, while AI-driven anomaly detection enables proactive threat mitigation. This framework is particularly suited for next-generation IoT applications, including smart grids, autonomous vehicles, and industrial automation, where security, scalability, and energy efficiency are critical. By combining quantum-resistant algorithms with adaptive security mechanisms, AQC provides forward secrecy, resistance to quantum adversaries, and robust authentication, ensuring long-term protection for IoT ecosystems in the post-quantum era. The findings underscore AQC’s potential as a foundational security architecture for future quantum-safe IoT networks.
In the ever-evolving field of cybersecurity, randomness plays a critical role in cryptographic systems. Traditional pseudo-random number generators, while widely used, can be vulnerable to attacks due to their deterministic nature. This paper explores the integration of quantum randomness into SSH authentication by utilizing a Quantum Random Number Generator (QRNG) to enhance key generation across various asymmetric cryptographic algorithms, specifically RSA, ECDSA, and EdDSA. Quantum-generated randomness offers a higher level of unpredictability, strengthening the security of cryptographic keys. We propose a method to generate keys using quantum random bits, hash them using SHA-256, and secure them for SSH authentication. The generated keys are evaluated for security improvements over conventional methods, and the performance of SSH authentication is analyzed. The results demonstrate that incorporating quantum randomness into key generation increases the cryptographic strength of the keys, offering a more robust defense against potential cryptanalytic attacks, while maintaining compatibility with existing SSH protocols. This approach signifies a step forward in leveraging quantum technologies to enhance network communication security.