Quantum image encryption has become a promising direction to protect visual information stored or transmitted through cyberspace due to its cryptographic power and resilience that are under-researched. This survey makes a systematic study of the current advancement in the field of quan-tum image encryption concerning cryptographic security and AI-based approaches. We survey the state of quantum-based encryption, such as quantum key distribution, chaotic quantum systems, and AI methods, such as deep learning, to generate keys and detect attacks through a thorough literature review. The significant findings include that quantum encryption may provide unprecedented security levels through mechanisms such as superposition and entanglement, yet computational complexity and hardware constraints are obstacles to implementation. AI-based methods have improved efficiency and adaptability but have created adversarial attack risks. We can conclude that quantum image encryption has the potential to transform the secure transmission of data, but it is necessary to incorporate AI-powered optimizations into the proven quantum systems to ensure scalability and resistance to evolving threats. Hybrid models are the way of the future as they need to find a balance between security and realistic usage.
Quantum image encryption has become a promising direction to protect visual information stored or transmitted through cyberspace due to its cryptographic power and resilience that are under-researched. This survey makes a systematic study of the current advancement in the field of quan-tum image encryption concerning cryptographic security and AI-based approaches. We survey the state of quantum-based encryption, such as quantum key distribution, chaotic quantum systems, and AI methods, such as deep learning, to generate keys and detect attacks through a thorough literature review. The significant findings include that quantum encryption may provide unprecedented security levels through mechanisms such as superposition and entanglement, yet computational complexity and hardware constraints are obstacles to implementation. AI-based methods have improved efficiency and adaptability but have created adversarial attack risks. We can conclude that quantum image encryption has the potential to transform the secure transmission of data, but it is necessary to incorporate AI-powered optimizations into the proven quantum systems to ensure scalability and resistance to evolving threats. Hybrid models are the way of the future as they need to find a balance between security and realistic usage.
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.
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.
The aim of this paper is to explore and implement cutting-edge quantum cryptographic techniques to enhance the security of image data storage. Leveraging principles from quantum computing and cryptography, the project seeks to develop an advanced image encryption system that ensures unprecedented levels of security. By harnessing the unique properties of quantum mechanics, such as superposition and entanglement, the proposed system will establish a robust foundation for encrypting images, surpassing the limitations of classical cryptographic methods. The utilization of quantum key distribution protocols will add an additional layer of security, making it virtually impossible for adversaries to intercept or compromise sensitive image data during storage. This endeavor not only addresses the escalating cybersecurity concerns surrounding image storage but also contributes to the advancement of quantum technologies in practical applications. The project envisions a novel paradigm in image encryption, fostering a secure environment for sensitive visual information across various domains, including healthcare, finance, and defense. Keywords—Quantum Mechanics, Quantum Computing, cryptography, secure.
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.
Classical cryptographic have a threat because of the emergence of quantum computing, and hence there is an urgent need to research post-quantum cryptography. To evaluate the potential of post-quantum encryption algorithms in countering quantum threats, here the study sees how they can be integrated with artificial intelligence (AI) and machine learning (ML). For their theoretical quantum resistance, the study looks at established post-quantum cryptography methods such as lattice-based, hash-based, and multivariate cryptographic schemes. A review of current research also simulation-based research is also taken into account to review the potential of AI/ML in bolstering security protocols and simplifying encryption processes. The key takeaway is that machine learning and AI do have actual potential to enhance post-quantum encryption through increasing its efficiency, flexibility, and resistance to future quantum attacks. AI also assists in real-time responsiveness in avoiding possible vulnerabilities. Our work contributes to the growing literature by combining insights from cryptographic and AI/ML research, providing a comprehensive evaluation of post-quantum encryption methods. This study emphasizes the highest importance of adopting hybrid cryptography techniques in order to advance information security in the quantum era, leading to further research in practical applications.
Quantum cryptography promises a revolutionary transformation in secure data transmission by leveraging fundamental principles of quantum mechanics such as superposition, entanglement, and no-cloning. As classical encryption methods face increasing vulnerabilities from powerful adversaries and emerging quantum computers, Quantum Key Distribution (QKD) and quantum-resistant algorithms offer unprecedented security advantages. This article explores the future landscape of quantum cryptography, analyzing QKD protocols, post-quantum cryptographic models, hardware requirements, communication architectures, and the evolving threat landscape. Two graphs illustrate the growth of global QKD deployment and the performance comparison of classical vs. quantum-resistant encryption schemes. Key challenges—including scalability, interoperability, cost, and standardization—are discussed alongside future opportunities in hybrid quantum-classical secure networks. The article concludes with a forward-looking assessment of how quantum cryptography will reshape secure communication in the coming decade.