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International Conference on Networks, Multimedia and Information Technology (NMITCON)

Secure Big Data Framework Using Quantum Randomness and Chaotic Map-Based Key Sequences

B Neeraja, Ladly Patel, Taqy Aleobahaey, Ensteih Silvia, T. Saravanan

Published Aug 1, 2025• 0 citations
Publisher

Abstract

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.

DOI
10.1109/nmitcon65824.2025.11188354

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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.
In the era of ubiquitous big data, ensuring secure storage, transmission, and processing has become a paramount concern. Classical cryptographic methods face increasing vulnerabilities in the face of quantum computing advancements. This research proposes an enhanced big data security framework integrating a quantum chaotic map of key sequence (QCMKS), which synergizes the principles of quantum mechanics and chaos theory to generate highly unpredictable and non-repetitive key sequences. The system incorporates quantum random number generation (QRNG) for true entropy sources, quantum key distribution (QKD) for secure key exchange immune to eavesdropping, and quantum error correction (QEC) to maintain integrity against quantum noise. Additionally, quantum optical elements transformation (QOET) is employed to implement state transformations on photonic qubits, ensuring robustness during transmission across quantum networks. The integration of QCMKS with QRNG, QKD, QEC, and QOET significantly enhances the confidentiality, integrity, and availability of big data systems, laying the groundwork for a quantum-resilient data security paradigm. While the proposed framework demonstrates strong theoretical potential for improving big data security, its practical robustness and performance are subject to current quantum hardware limitations, noise sensitivity, and integration complexities.
In today’s digital landscape, ensuring the security of data transmitted and stored in the cloud is paramount. Traditional encryption methods face challenges in scalability and susceptibility to quantum threats. This abstract presents a novel approach to cloud data security leveraging lightweight chaos encryption and quantum key distribution (QKD). The proposed mechanism combines the dynamic properties of chaos encryption, which offers high entropy and resistance to conventional attacks, with the quantum-level security provided by QKD. By integrating chaos-based encryption techniques with QKD protocols, our system achieves enhanced security for data communications in cloud environments. Furthermore, the lightweight nature of chaos encryption ensures efficient utilization of computational resources, making it suitable for cloud-based applications. This abstract outlines the theoretical framework and operational principles of the proposed security mechanism, highlighting its potential to address the evolving challenges of data security in cloud computing.
The emergence of quantum computing has introduced unprecedented security challenges to conventional cryptographic systems, particularly in the domain of optical communications. This research addresses these challenges by innovatively combining quantum key distribution (QKD), specifically the E91 protocol, with logistic chaotic maps to establish a secure image transmission scheme. Our approach utilizes the unpredictability of chaotic systems alongside the robust security mechanisms inherent in quantum entanglement. The scheme is further fortified with an eavesdropping detection mechanism based on CHSH inequality, thereby enhancing its resilience against unauthorized access. Through quantitative simulations, we demonstrate the effectiveness of this scheme in encrypting images, achieving high entropy and sensitivity to the original images. The results indicate a significant improvement in encryption and decryption efficiency, showcasing the potential of the scheme as a viable solution against the vulnerabilities posed by quantum computing advancements. Our research offers a novel perspective in secure optical communications, blending the principles of chaos theory with QKD to create a more robust cryptographic framework.
Recent developments in quantum-enhanced security have demonstrated encouraging promise for enhancing cloud computing environments' security. Utilizing quantum physics, in particular Quantum Key Distribution (QKD), provides a new method for generating cryptographic keys and improves cloud data transport security. The present study offers a thorough investigation of the integration of QKD with conventional encryption techniques, including Advanced Encryption Standard (AES), in order to tackle the dynamic cyber security scenario in cloud computing. The approach entails combining AES for encryption and decryption procedures and establishing a QKD layer within the cloud architecture to produce true quantum keys utilizing Quantum in Cloud technology. Data transmission security is greatly improved by the smooth integration of AES with QKD-generated keys, guaranteeing confidentiality, integrity, and authenticity. In addition, strong key management practices are put in place to handle cryptographic keys safely at every stage of their lifespan, reducing the possibility of unwanted access or interception. The suggested approach successfully addresses the difficulties presented by cyber threats by offering a robust and flexible means of enhancing security in cloud-based systems. Using both traditional and quantum encryption methods, this strategy provides a strong barrier against cyber-attacks, data leaks, and other security flaws. After 70 simulation rounds, the suggested strategy, which is implemented using the QKD-AES framework in Python software, achieved a data access rate of 820 MB/s. In addition to providing an accurate and quantitative assessment of the performance, this also exhibits a high data access rate attained under simulated conditions. At 15 milliseconds, the key generation time was achieved with efficiency, guaranteeing the quick creation of secure cryptographic keys in cloud environments. Overall, there is a lot of potential in using quantum-enhanced security techniques to protect sensitive data and guarantee the integrity of cloud computing infrastructures.
The accelerating development of quantum computing capabilities poses an unprecedented challenge to conventional encryption methodologies that currently underpin global digital security infrastructure. Classical cryptographic systems, including widely adopted standards such as RSA and AES, derive their security from the computational intractability of specific mathematical problems, a foundation that quantum algorithms threaten to fundamentally undermine. This research presents a comprehensive investigation into the practical implementation of Quantum Key Distribution as a transformative approach to establishing unconditionally secure communication channels. Through experimental deployment of the BB84 protocol augmented with advanced quantum error correction and privacy amplification techniques, we systematically evaluate the performance characteristics and security guarantees of QKD in realistic network environments. Our experimental framework achieves a secure key generation rate of 2.5 megabits per second while maintaining an average quantum bit error rate of 3.2 percent, demonstrating the practical viability of quantum-secured communication. The implementation exhibits exceptional eavesdropping detection capabilities with a 98.5 percent success rate in identifying unauthorized interception attempts. Comparative security analysis reveals that QKD-based encryption reduces vulnerability to brute-force attacks by 65 percent when contrasted with classical encryption standards. The integration of lattice-based post-quantum cryptographic algorithms provides an additional security layer against store-now-decrypt-later attack strategies. These findings substantiate the position of Quantum Key Distribution as a cornerstone technology for next-generation cybersecurity frameworks, offering robust protection against both current threats and the anticipated capabilities of large-scale quantum computers.
In recent times, secure data transmission become crucial requirement because of increasing growth of threats and emergence of quantum computing technologies. However, existing Quantum Key Distribution-Advanced Encryption Standard-Least Significant Bit (QKD-AES-LSB) struggled with two main limitations such as restricted resistance to future quantum attacks because of dependence on classical encryption and vulnerability of static LSB steganography for improved Machine Learning (ML) approaches. To address these challenges, Quantum Key Distribution-Post-Quantum Cryptography-Adaptive Steganographic Encryption framework (QKD-PQC-ASE) is proposed. Primarily, secret data and cover images are gathered then quantum key is generated using E91 protocol. Next, post-quantum cryptographic key encapsulation is applied to strengthened the generated kay and ensure long-term quantum resistance. Further, secret data is encrypted employing quantum-resilient encryption mechanism and combined using cryptographic hashing. Furthermore, encrypted data is embedded in to cover image through quantum-randomness-guided adaptive steganography for resisting improved steganalysis attacks. Finally, proposed QKD-PQC-ASE framework obtains improved resistance against future quantum attacks and enhanced steganalysis by maintaining low computational overhead. Therefore, proposed QKD-PQC-ASE framework achieved greater results in terms of NPCR of 99.84 % and a UACI of57.92%\mathbf{5 7. 9 2 \%}57.92%which demonstrates efficiency of framework for secure and future-ready data encryption in quantum-aware communication environments.