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International Conference on Computer Information Science and Artificial Intelligence (CISAI)

A hybrid encryption framework and evaluation method based on quantum technology, used to build a secure intelligent file cabinet system

Qianxu Huang, Yu Huang, Heng Li, Dahua Chen, Feiyu Zheng, Jinquan Zhang, Kaijun Yuan

Published Sep 12, 2025• 0 citations
Publisher

Abstract

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.

DOI
10.1145/3773365.3773633

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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.
Over the past few years, quantum computing has been evolving, raising concerns about how long our existing encryption methods will remain reliable. Given this, random number generators that are both high entropy and secure from quantum threats are needed. In this research, we present a hybrid random number generator system designed to produce quantum-resistant cryptographic keys to mitigate the risk of future quantum adversaries. This HRNG design integrates true entropy of a quantum random number generator (QRNG) and combines it with the high-speed performance of a ChaCha20-based pseudo random number generator (PRNG). This approach successfully balances the speed of classical algorithms with quantum unpredictability. When integrated with symmetric (AES, Blowfish, Triple DES, IDEA) and asymmetric (RSA, ECC) encryption algorithms, it maintained high-speed encryption performance without any difficulties from the limitations of physical QRNG. By avoiding hardware constraints and performance bottlenecks, the HRNG provides a deployable entropy solution that easily integrates into existing cryptographic systems.
This paper introduces a fully decentralized communication platform that enables secure messaging and file sharing by integrating a quantum random number generator (QRANG) to enhance cryptographic strength against future quantum threats. The proposed system leverages blockchain technology for tamper-resistant recordkeeping, distributed storage through IPFS, and end-to-end encryption using quantum-derived entropy. Unlike conventional decentralized applications that rely on classical pseudo-random number generators, our approach utilizes true quantum randomness to generate encryption keys, significantly increasing unpredictability and resistance to cryptanalytic attacks. The architecture is organized into presentation, orchestration, and data storage layers to ensure clear separation of functions and facilitate robust security. Empirical evaluation demonstrates substantial improvements in randomness quality, key security, and overall system resilience when compared to traditional methods, highlighting the effectiveness of quantum-enhanced cryptography in practical decentralized applications.
Randomness is essential in cryptography for key generation and secure information exchange, ensuring confidentiality and protection. Quantum Random Number Generators (QRNGs) leverage quantum mechanics to produce truly random numbers, offering a major advantage over Pseudo Random Number Generators (PRNGs), which are slower and less secure due to their deterministic nature. Quantum computing boosts QRNG efficiency, making them ideal for cryptographic applications, such as secure key exchange and encrypted communication. QRNGs generate stronger encryption systems by utilizing quantum phenomena like Bloch sphere rotations. The integration of machine learning (ML) with QRNGs further enhances their effectiveness, optimizing random sequences for improved speed and security. This combination of QRNGs and ML provides a powerful approach to cryptography, ensuring more secure communication channels and better protection against potential attacks.
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.
From the past few years, the rapid growth in quantum computing and large-scale data systems has created an important need for advanced encryption techniques that withstand quantum-level attacks. However, traditional cryptographic systems are becoming increasingly vulnerable, particularly in big-data environments. To overcome this limitation, this research proposes a secure framework for big data encryption namely Quantum-Chaotic Key-Based Encryption System (QC-KES), which combines quantum randomness and chaos theory to make highly secure encryption keys. Therefore, the methodology begins by producing a quantum random seed utilizing Quantum Random Number Generation (QRNG). It is then enhanced through a chaotic logistic map to generate unpredictable key sequences that are securely shared using Quantum Key Distribution (QKD). Subsequently, quantum optical elements are tuned based on the key sequence to encrypt data at the hardware level. Moreover, Quantum Error Correction (QEC) confirms the signal integrity, while the data are encrypted, transmitted, and later decrypted by the shared key. This system improves key security, accuracy, and resistance to quantum-based threats. Finally, the proposed QC-KES obtained better results in entropy (8.000%) and avalanche effect (52.5 bits) when compared the existing Advanced Encryption Standard (AES) model.
Cryptography is the study and practice of secure communication with digital data and focuses on confidentiality, integrity, and authentication. Random number generators (RNGs) generate random numbers to enhance security. Even though the cryptographic algorithms are public and their strength depends on the keys, cryptoanalysis of encrypted ciphers can significantly contribute to the unveiling of the cipher’s key. Therefore, to ensure high data security over a network, researchers need to improve the randomness of keys as they develop cryptosystems. Quantum particles have a leading edge in advancing RNG technology as they can provide true randomness, unlike pseudo-random numbers generators (PRNGs). In order to increase the level of the security of cryptographic systems based on random numbers, this survey focuses on three objectives: Cryptosystems with related cryptographic attacks, RNG-based cryptosystems, and the design of quantum random number generators (QRNGs). This survey aims to provide researchers with information about the importance of RNG-based ciphers and various research techniques for QRNGs that can incorporate quantum-based true randomness in cryptosystems.