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IEEE International Conference on Public Key Infrastructure and its Applications (PKIA)

A Quantum Attack Pipeline on DNA-Based Encryption: PRNG Vulnerabilities and QRNG-Based Defenses

Mohammed Misbhahuddin, Anjali Tiwari

Published Sep 1, 2026• 0 citations
Publisher
DOI
10.1109/pkia71423.2026.11732314

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•Sep 1, 2026•0 citations
Defense, finance, navigation and global internet constellations are now dependent on satellite communication. Nevertheless, the majority of systems continue to use classical pseudo-random number generators (PRNGs) to encrypt and authenticate, and these are susceptible to prediction, replay and side-channel attacks. This paper presents a design of a model to incorporate Quantum True Random Number Generators (QTRNGs) to tap into natural randomness of quantum phenomena into satellite communication systems. The design is a gate based QRNG design based on Hadamard, SX and Pauli-Z gates, which are implemented and tested with NIST 800-22 and NIST 800-90B tests. The protocol architecture uses QRNGs to generate secure keys in ground-to-satellite and inter-satellite links. It shows a better result in entropy, unpredictability and attack resistance. The suggested architecture illustrates the ability of satellites enabled by QRNG to ensure the real-time and futureproof security of the worldwide communication networks.
The quality of random numbers directly determines the security of a cryptographic system. Traditional pseudo-random number generators (PRNGs) rely on a limited-length seed. Once the entropy is insufficient or the seed is attacked, although the generated sequence may appear to be close to true randomness in appearance, its actual security will significantly decline. To address this issue, this paper proposes an encryption method that combines quantum key technology with commercial encryption algorithms and applies it to an intelligent file cabinet security system. This method utilizes a quantum random number generator to create high-entropy encryption keys and integrates SM2, SM3, and SM4 block encryption algorithms to construct an efficient and reliable file encryption, transmission, and management solution. It ensures complete ciphertext protection, authentication, and data integrity throughout the file storage and retrieval process. The experimental results show that QRNG outperforms common PRNGs in terms of statistical distribution, sequence independence, and resistance to prediction attacks, achieving higher entropy source quality and lower attack surface risk. Further experiments with weak seeds and insufficient early entropy verified the unique advantages of QRNG in avoiding security degradation. Moreover, the KL difference between the encrypted ciphertext and the plaintext is approximately 1.2 times that of RSA + AES. These results indicate that this method effectively enhances the confidentiality and integrity of file exchange and has practical application and innovation potential.
This paper explores the design of cryptographic algorithms leveraging the inherent randomness of quantum random number generators (QRNGs). Traditional cryptographic algorithms often rely on pseudo-random number generators (PRNGs), which are deterministic and therefore vulnerable to attacks if their internal state is compromised. QRNGs, on the other hand, derive their randomness from quantum mechanical phenomena, offering a fundamentally unpredictable source of numbers. This research investigates the application of QRNGs to enhance cryptographic security, focusing on constructing algorithms that exploit this unique property. The core claim is that utilizing QRNG characteristics allows for the design of more secure cryptographic algorithms. The proposed mechanism involves capitalizing on the non-deterministic nature of QRNGs to build algorithms with heightened security levels. This approach presents a novel security guarantee method by incorporating true randomness into cryptographic processes. We examine specific algorithm designs and analyze their security implications compared to traditional PRNG-based approaches. The paper concludes with a discussion on the challenges and future directions of utilizing QRNGs in cryptography.