Cryptography plays an important role in ensuring data security and authentication within information processing systems. As the prevalence of digital imagery continues to grow, safeguarding this form of data becomes increasingly crucial. However, existing security protocols, reliant on complex mathematical models, exhibit vulnerabilities in effectively protecting information from both internal and external threats. Moreover, the forthcoming advent of quantum computing poses a significant challenge, as it could decrypt data encrypted by classical. In this paper, we propose an efficient implementation scheme for a quantum image encryption algorithm combining the generalized affine transform and logistic map. We evaluated developed quantum circuits using qiskit and quantum devices to validate the encryption technique. Through comprehensive performance analysis, we have demonstrated the efficiency of the chosen encryption algorithm across various criteria. Furthermore, we introduce a hybrid methodology aimed at mitigating circuit complexity and reducing quantum cost. Leveraging the Espresso algorithm and incorporating an ancilla qubit into the circuitry, we achieve a remarkable 50\% reduction in cost while maintaining security and efficiency. Finally, we conducted robustness and security analyses to assess the resilience of our encryption method against diverse noise attacks. The results confirm that our proposed quantum image encryption technique provides a secure solution and offers precise and measurable quantum image processing capabilities.
Cryptography plays an important role in ensuring data security and authentication within information processing systems. As the prevalence of digital imagery continues to grow, safeguarding this form of data becomes increasingly crucial. However, existing security protocols, reliant on complex mathematical models, exhibit vulnerabilities in effectively protecting information from both internal and external threats. Moreover, the forthcoming advent of quantum computing poses a significant challenge, as it could decrypt data encrypted by classical. In this paper, we propose an efficient implementation scheme for a quantum image encryption algorithm combining the generalized affine transform and logistic map. We evaluated developed quantum circuits using qiskit and quantum devices to validate the encryption technique. Through comprehensive performance analysis, we have demonstrated the efficiency of the chosen encryption algorithm across various criteria. Furthermore, we introduce a hybrid methodology aimed at mitigating circuit complexity and reducing quantum cost. Leveraging the Espresso algorithm and incorporating an ancilla qubit into the circuitry, we achieve a remarkable 50% reduction in cost while maintaining security and efficiency. Finally, we conducted robustness and security analyses to assess the resilience of our encryption method against diverse noise attacks. The results confirm that our proposed quantum image encryption technique provides a secure solution and offers precise and measurable quantum image processing capabilities.
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.
In the digital era, characterized by extensive online data exchange, information security has become a priority. While traditional encryption methods have proven effective in protecting data transfers, the advent of advanced quantum computing has increased susceptibility to security breaches. Quantum encryption provides a revolutionary solution to this problem by using quantum mechanics principles to establish algorithms that are impermeable to decryption. Using these quantum properties, cryptographic protocols are developed to provide superior security, unlike traditional encryption methods. The image plays an important role in transmitting information in all areas. Therefore, quantum image encryption methods are specifically designed to counter the potential risks posed by quantum computers, which can compromise conventional encryption protocols. This ensures the preservation of data security despite advances in quantum computing technology. In addition, quantum image encryption improves data transmission efficiency by establishing secure communication channels using quantum stats, thereby reducing the need for bandwidth and improving transmission speed. This paper proposes a new method of quantum encryption based on GNEQR representation and the modification of pixel values and positions in an image. After converting the image into a quantum form, we applied an algorithm to modify the values and positions of the pixels using a succession of quantum gates. We concluded this study with a statistical analysis showing the robustness of our quantum image encryption method.
Since their introduction, numerous quantum image encryption methods have been developed. As we shall demonstrate, protecting visual information against classical and quantum threats depends on representations. In this paper, we identify the essential components of quantum encryption algorithms and explain a variety of quantum image representations with different levels of qubit efficiency, computational complexity, and security. The paper also explores the favourable and unfavourable aspects of hybrid, chaos-based, quantum transform-based, and DNA-based quantum image encryption schemes. The security analysis focuses on noise tolerance and scalability. This involves aspects such as key space size, resistance to various attacks, and calculation efficiency. Meanwhile, potential areas for investigation include robust algorithms, hybrid systems and reducing decoding errors. We also address the implementation difficulties involved, including the necessary hardware and decoding error reduction. Classical and quantum techniques, as well as more advanced quantum equipment, are considered too. The evaluation calls for uniform policies and realistic responses and emphasises how quantum image encryption could transform information security in the quantum era. and realistic answers and highlights how quantum image encryption may change information safety within the quantum generation.
Since their introduction, numerous quantum image encryption methods have been developed. As we shall demonstrate, protecting visual information against classical and quantum threats depends on representations. In this paper, we identify the essential components of quantum encryption algorithms and explain a variety of quantum image representations with different levels of qubit efficiency, computational complexity, and security. The paper also explores the favourable and unfavourable aspects of hybrid, chaos-based, quantum transform-based, and DNA-based quantum image encryption schemes. The security analysis focuses on noise tolerance and scalability. This involves aspects such as key space size, resistance to various attacks, and calculation efficiency. Meanwhile, potential areas for investigation include robust algorithms, hybrid systems and reducing decoding errors. We also address the implementation difficulties involved, including the necessary hardware and decoding error reduction. Classical and quantum techniques, as well as more advanced quantum equipment, are considered too. The evaluation calls for uniform policies and realistic responses and emphasises how quantum image encryption could transform information security in the quantum era. and realistic answers and highlights how quantum image encryption may change information safety within the quantum generation.
In the age of digital technology, medical images play an important role in the healthcare industry, which aids surgeons in making precise decisions and reducing the diagnosis time. However, the storage of large amounts of these images in third-party cloud services raises privacy and security concerns. There are a lot of classical security mechanisms to protect them. Although, the advent of quantum computing entails the development of quantum-based encryption models for healthcare. There is a significant demand for resource-efficient, quantum-secure image encryption mechanisms that leverage existing classical infrastructure. Hence, in this paper, a novel quantum chaos-based encryption scheme for medical images has been introduced. The model utilizes bit-plane scrambling, a 3D quantum logistic map, quantum operations in the diffusion phase, a hybrid chaotic map, and DNA encoding in the confusion phase to transform the plain medical image into a cipher medical image. The proposed scheme has been evaluated using multiple statistical analyses and validated against more attacks such as differential attacks, known and chosen plaintext attacks with three different medical datasets, and theoretically, as well. Hence, the introduced encryption model has proved to be more attack-resistant and robust than other existing image encryption schemes, ensuring the secure storage of medical images in cloud environments.
Encryption of data is a cornerstone of information security with confidentiality, integrity, and availability of sensitive information. However, the advent of quantum computing (QC) adds complexity to the classical encryption mechanisms by threatening their quantum resilience. This work looks into incorporating QC into cryptographic schemes through the evolution of an Elliptic Quantum Cryptosystem (EQC), fusing elliptic curve cryptography (ECC) and quantum annealing. The objective is to offer protection against attacks in conventional cryptographic schemes and enhance quantum attack resistance. Quantum annealing maximizes encryption through quantum fluctuations to locate best solutions, resulting in higher efficiency and reliability. The research examines top performance measures, including encryption time, decryption time, bit error rate (BER), computational efficiency, level of security, and scalability. Experimental results confirm that the proposed EQC technique has improved performance compared to existing approaches. Specifically, it takes 35 ms encryption time, 40 ms decryption time, 0.0005% BER, 80 seconds computational complexity, 9 level of security, and graded scalability as 8. These outcomes confirm the efficiency of the approach in enhancing encryption security and adaptability against quantum attacks. The problem addressed is the vulnerability of classical encryption systems to quantum advancements. By the addition of quantum-safe procedures, EQC provides a safe alternative, ensuring data confidentiality and integrity during the era of quantum. Disadvantages are the challenge in using quantum annealing and scalability problems for larger datasets. Future researches need to focus on the optimization of quantum approaches, addressing scalability issues, and studying real-world applications to ensure the generalizability of this new approach.