In the realm of cybersecurity, the demand for robust encryption and secure data hiding techniques has intensified with the proliferation of digital communication and sensitive information exchange. This paper explores integration of QC advancements for enhancing the security of two critical cryptographic applications: Advanced Encryption Standard (AES) encryption and Least Significant Bit (LSB) image steganography. Quantum computing introduces the concept of qubits, which harness quantum mechanical phenomena to perform computations that classical computers struggle to achieve efficiently. By leveraging qubits, AES encryption can potentially benefit from enhanced key generation and encryption processes, thereby strengthening data confidentiality against conventional and future quantum attacks. Additionally, this paper investigates the application of quantum-inspired techniques to optimize the LSB method in image steganography. LSB embedding involves hiding data within LSB of image pixels, technique vulnerable to statistical attacks. Quantum-inspired approaches aim to mitigate these vulnerabilities by improving embedding efficiency and robustness without compromising image quality. Through theoretical analysis and simulation studies, this research evaluates the feasibility and potential benefits of integrating quantum computing into AES encryption and LSB steganography. The findings underscore the promise of quantum-enhanced methods in fortifying data security across digital platforms, laying the groundwork for future advancements in quantum cryptography and information hiding techniques.
In the realm of cybersecurity, the demand for robust encryption and secure data hiding techniques has intensified with the proliferation of digital communication and sensitive information exchange. This paper explores integration of QC advancements for enhancing the security of two critical cryptographic applications: Advanced Encryption Standard (AES) encryption and Least Significant Bit (LSB) image steganography. Quantum computing introduces the concept of qubits, which harness quantum mechanical phenomena to perform computations that classical computers struggle to achieve efficiently. By leveraging qubits, AES encryption can potentially benefit from enhanced key generation and encryption processes, thereby strengthening data confidentiality against conventional and future quantum attacks. Additionally, this paper investigates the application of quantum-inspired techniques to optimize the LSB method in image steganography. LSB embedding involves hiding data within LSB of image pixels, technique vulnerable to statistical attacks. Quantum-inspired approaches aim to mitigate these vulnerabilities by improving embedding efficiency and robustness without compromising image quality. Through theoretical analysis and simulation studies, this research evaluates the feasibility and potential benefits of integrating quantum computing into AES encryption and LSB steganography. The findings underscore the promise of quantum-enhanced methods in fortifying data security across digital platforms, laying the groundwork for future advancements in quantum cryptography and information hiding techniques.
Quantum cryptography, with the chance of advancement offered by its basis on the single principle of quantum mechanics, constitutes a notable point of strength in the advancement of new cryptography research. Utilizing the distinctive properties of quantum mechanism, such as qubits, quantum cryptography offers enhanced protection against quantum computer attacks. This paper proposes a novel quantum cryptographic algorithm that integrates quantum key generation with the Advanced Encryption Standard (AES) technique to safeguard data from quantum threats. By combining quantum bit generation with AES encryption, the confidentiality of information exchanged between parties is preserved. The quantum bit generation technique exploits the inherent properties of quantum mechanics, particularly quantum superposition, to generate secure cryptographic keys. Leveraging the efficiency and robustness of the AES encoding standard, this approach offers heightened security against quantum attacks. Experimental analysis using MATLAB software validates the effectiveness of the proposed method.Top of Form
We are building a highly secure way of sending messages by combining the use of Quantum Key Distribution (QKD) to produce encryption keys and encrypting messages with a variant of AES-256 (a substitution cipher) and Least Significant Bit (LSB) steganography or hiding them in images. We are employing the BB84 protocol to produce these keys based on the quantum properties of the photonic (light) particles; we can detect any third parties attempting to intercept the key and measure it by the Quantum Bit Error Rate (QBER). Once we have produced a secure key, we then use it to encrypt the actual message with AES-256, and we hide that in a digital image (the cover image) with LSB steganography. Thus, if a third party were to capture the Stego image (the digital image containing the hidden encrypted message), they would not be able to decrypt the hidden message without the key that was produced using quantum cryptography. An analytics dashboard monitors the success of the key generation, the QBER value, and other performance metrics, giving a high degree of transparency and trustworthiness of the whole process.
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%which demonstrates efficiency of framework for secure and future-ready data encryption in quantum-aware communication environments.
Several approaches and techniques exist to make communication via the internet secure, one of these approaches is steganography. Computer steganography can be defined as a method of hiding data in cover media so that others are not aware of its existence. Quantum computers, built on the principles of quantum physics, have introduced new possibilities for researchers in security and computer science. This paper explores the fundamentals of quantum computing, its achievements, and the challenges and future prospects it presents in the field of cryptography and steganography. Quantum computers give us a new approach to different kinds of complicated problems in security fields by creating multi-state computing spaces. The article deals with the steganography system which hides text inside images and after that realize quantum communication. The secret message is hidden in the cover image using Least Significant Bit (LSB) algorithm. The paper proposes an information transmission scheme with a quantum channel enabled. Quantum key distribution (QKD) is a secure communication method that implements a cryptographic protocol involving components of quantum mechanics.
Currently, quantum steganography schemes utilizing the least significant bit (LSB) approach are primarily optimized for fixed-point data processing, yet they encounter precision limitations when handling extended floating-point data structures owing to quantization error accumulation. To overcome precision constraints in quantum data hiding, the EPlsb-MFQS and MVlsb-MFQS quantum steganography algorithms are constructed based on the LSB approach in this study. The multichannel floating-point quantum representation of digital signals (MFQS) model enhances information hiding by augmenting the number of available channels, thereby increasing the embedding capacity of the LSB approach. Firstly, we analyze the limitations of fixed-point signals steganography schemes and propose the conventional quantum steganography scheme based on the LSB approach for the MFQS model, achieving enhanced embedding capacity. Moreover, the enhanced embedding efficiency of the EPlsb-MFQS algorithm primarily stems from the superposition probability adjustment of the LSB approach. Then, to prevent an unauthorized person easily extracting secret messages, we utilize channel qubits and position qubits as novel carriers during quantum message encoding. The secret message is encoded into the signal’s qubits of the transmission using a particular modulo value rather than through sequential embedding, thereby enhancing the security and reducing the time complexity in the MVlsb-MFQS algorithm. However, this algorithm in the spatial domain has low robustness and security. Therefore, an improved method of transferring the steganographic process to the quantum Fourier transformed domain to further enhance security is also proposed. This scheme establishes the essential building blocks for quantum signal processing, paving the way for advanced quantum algorithms. Compared with available quantum steganography schemes, the proposed steganography schemes achieve significant improvements in embedding efficiency and security. Finally, we theoretically delineate, in detail, the quantum circuit design and operation process.
Quantum image encryption (QIE) has emerged as a promising solution for securing digital data in an era dominated by rapid advancements in quantum computing and increasing cyber threats. Traditional cryptographic techniques, which rely on classical encryption methods, are vulnerable to the computational power of quantum algorithms, posing significant challenges for maintaining data privacy and integrity. This survey presents a thorough review of quantum encryption techniques, highlighting both their limitations and advantages, with a particular emphasis on their ability to ensure secure visual data transmission in the post-quantum era. Additionally, it provides a comparative analysis of classical and quantum cryptographic techniques, with a primary focus on quantum encryption methods. The survey also explores potential solutions to address the challenges inherent in classical encryption schemes, highlighting how these challenges can be mitigated through quantum encryption approaches. As quantum computing continues to evolve, the need for quantum-secure encryption methods becomes more critical. This survey not only highlights the innovative techniques that show promise for future secure visual data transmission but also identifies key areas for future research and development, paving the way for robust and scalable solutions in the quantum computing era.