[This Proceedings paper was revised and published in the 2018 issue of the journal Issues in Informing Science and Information Technology, Volume 15] Medical images are very sensitive data that are being transferred here and there either for referral cases or consultation. Since these images are very sensitive, they have to be kept securely. Since the advent of the internet, transferring of these images is being done on the network in the form of data. Data security applications have drawn lots of interest over time. Unauthorized users daily derive ways to gain access to sensitive information while application programmers continue to devise new methods of keeping information safe. One of the best ways to which data could be kept secured is through the use of cryptography. Not just Cryptography, there are new applications of the principles of quantum mechanics to cryptography has led to a remarkable new dimension in secured communication. As a result of these new developments, it is now possible to construct cryptographic communication systems which keep transferred data safe and secure. Therefore, in this paper, a reliable and dependable way of securing medical image using Darpa Quantum Network that delivers end to end network security via high-speed Quantum Key Distribution, and testing the Network against sophisticated eavesdropping attacks is being proposed.
[This Proceedings paper was revised and published in the 2018 issue of the journal Issues in Informing Science and Information Technology, Volume 15] Medical images are very sensitive data that are being transferred here and there either for referral cases or consultation. Since these images are very sensitive, they have to be kept securely. Since the advent of the internet, transferring of these images is being done on the network in the form of data. Data security applications have drawn lots of interest over time. Unauthorized users daily derive ways to gain access to sensitive information while application programmers continue to devise new methods of keeping information safe. One of the best ways to which data could be kept secured is through the use of cryptography. Not just Cryptography, there are new applications of the principles of quantum mechanics to cryptography has led to a remarkable new dimension in secured communication. As a result of these new developments, it is now possible to construct cryptographic communication systems which keep transferred data safe and secure. Therefore, in this paper, a reliable and dependable way of securing medical image using Darpa Quantum Network that delivers end to end network security via high-speed Quantum Key Distribution, and testing the Network against sophisticated eavesdropping attacks is being proposed.
Aim/Purpose: Medical images are very sensitive data that can be transferred to medical laboratories, professionals, and specialist for referral cases or consultation. Strict security measures must be utilized to keep these data secured in computer networks when transferred to another party. On a daily basis, unauthorized users derive ways to gain access to sensitive patient medical information. Background: One of the best ways to which medical image could be kept secured is through the use of quantum cryptography Methodology : Applying the principles of quantum mechanics to cryptography has led to a remarkable new dimension in secured network communication infrastructure. This enables two legitimate users to produce a shared secret random bit string, which can be used as a key in cryptographic applications, such as message encryption and authentication. Contribution: This paper can make it possible for the healthcare and medical professions to construct cryptographic communication systems to keep patients’ transferred data safe and secured. Findings: This work has been able to provide a way for two authorized users who are in different locations to securely establish a secret network key and to detect if eavesdropping (a fraudulent or disruption in the network) has occurred Recommendations for Practitioners: This security mechanism is recommended for healthcare providers and practitioners to ensure the privacy of patients’ medical information. Recommendation for Researchers: This paper opens a new chapter in secured medical records Impact on Society Quantum key distribution promises network security based on the fundamental laws of quantum mechanics by solving the problems of secret-key cryptography . Future Research: The use of post-quantum cryptography can be further researched.
Secure remote sharing of medical images is essential for advancing telemedicine, accurate diagnostics, and collaborative healthcare delivery. The traditional cryptography techniques are fast turning to be susceptible to quantum computing risks and generally are less efficient in high throughput medical settings. To counter such a shortcoming, we present an innovative quantum-oriented solution that utilizes optimized methods of secure and real-time medical image transmission over a long-distance network. In this method, Quantum Key Distribution (BB84 protocol), hybrid cryptography, quantum informed optimization, and quantum steganography are used to provide efficient high-fidelity and low latency transmission of images. The QKD is used to securely create symmetric keys that are to be used in the AES 256 encryption of the image and Elliptic Curve Cryptography is applied so that the metadata can be kept confidential. Immutable and transparent access logs are kept by using the blockchain technology. In order to even improve the performance, a dynamically tuning encryption parameters using a Quantum Genetic Algorithm can be applied to eliminate the computing overhead. Experimental testing with NIH Chest X-ray dataset shows an average encryption and decryption speed of 38.1 milliseconds, with a success rate of more than 25% relative to the conventional post-quantum cryptographic system. The results of a secure transmission show a decrease in latency of 12.5% over the TLS-enhanced QKD. The system keeps the Quantum Bit Error Rate at less than 5% under realistic noise levels and retains more than 75% of the key material obtained. In quantum steganography, the level of accuracy to detect tampering is 98.6%, hence data integrity. The solution has shown the capability to integrate quantum-level security, computing performance, and regulatory durability to become a trusted and long-term process of safe sharing of medical images in modern healthcare systems.
The rapid growth of IoT-enabled healthcare systems and cloud storage technologies has significantly increased the reliance on digital medical imaging for diagnosis and treatment. However, the storage and transmission of medical images over cloud platforms introduce serious security and privacy concerns, particularly due to cyberattacks, data breaches, and adversarial manipulations. Medical images, including MRI, CT, and X-ray scans, contain sensitive patient information that must be protected during storage and communication. Traditional cryptographic techniques, while effective, are increasingly vulnerable to emerging threats, especially with the advent of quantum computing. Recent advances in Artificial Intelligence (AI) and Quantum Neural Networks (QNNs) have opened new possibilities for secure medical image cryptanalysis and protection. Deep learning-based cryptographic techniques have demonstrated the ability to enhance image encryption, authentication, and secure transmission while maintaining diagnostic quality. Additionally, quantum computing introduces advanced cryptographic paradigms such as Quantum Key Distribution (QKD) and quantum-enhanced encryption, which significantly improve data security in IoT-enabled cloud environments. Quantum neural networks further enhance cryptographic systems by enabling efficient processing of high-dimensional medical image data while ensuring privacy preservation through quantum cryptography mechanisms. Moreover, recent studies highlight that adversarial attacks on AI-based medical imaging systems can lead to incorrect diagnoses, emphasizing the need for robust and secure architectures. This paper presents a comprehensive systematic review of recent advances in secure medical image cryptanalysis using quantum neural networks in IoT-enabled cloud storage systems. It examines AI-driven cryptographic techniques, quantum-based security models, and hybrid frameworks, while identifying research trends, challenges, and future directions for developing secure and efficient healthcare systems.
The rapid growth of Internet of Things (IoT)-enabled healthcare systems has led to the widespread use of cloud-based platforms for storing and transmitting medical images. While this paradigm improves accessibility and scalability, it also introduces significant security challenges, including unauthorized access, data breaches, and cyberattacks. Secure medical image cryptanalysis has therefore become a critical research area, focusing on evaluating and strengthening encryption techniques used in healthcare systems. Recent advancements in artificial intelligence, particularly deep learning and quantum neural networks (QNNs), have opened new avenues for enhancing medical image security. Quantum neural networks leverage principles of quantum computing such as superposition and entanglement to improve computational efficiency and encryption strength. Additionally, deep learning-based cryptographic techniques enable intelligent key generation, anomaly detection, and attack mitigation. This paper presents a comprehensive review of secure medical image cryptanalysis techniques using quantum neural networks in IoT-enabled cloud storage environments. The study explores hybrid approaches combining quantum-inspired algorithms, deep learning models, and cryptographic techniques to improve data confidentiality, integrity, and availability. Recent research highlights the effectiveness of quantum-enhanced encryption frameworks, such as quantum key distribution and hybrid cryptographic systems, in protecting sensitive medical data. Despite these advancements, challenges such as high computational complexity, limited quantum hardware availability, and scalability issues persist. This review analyses recent developments, identifies research gaps, and provides future directions for developing secure and efficient medical image cryptanalysis systems.
Using quantum cryptography can significantly support cybersecurity in healthcare, paving the way for safer digital environments. As the sector evolves, ongoing research and innovation in quantum technologies will be essential for ensuring the confidentiality and integrity of patient information, ultimately enhancing the quality of care delivered in an increasingly interconnected world. The chapter explores the evolution of quantum cryptography to strengthen cybersecurity in the healthcare sector. As reliance on digital technology increases, protecting sensitive patient information becomes more important. Quantum cryptography offers a new way to create secure communication using the principles of quantum mechanics. These briefs highlight the critical need for security measures that can prevent devastating cyber threats. The second section describes the role of quantum algorithms, particularly quantum key distribution (QKD) and quantum-resistant algorithms. QKD allows encryption keys to be exchanged securely, ensuring that any eavesdropping attempts are detected, thus preserving the integrity of communications. Quantum-resistant algorithms have also been designed to prevent quantum computer attacks that could compromise cryptographic systems. By integrating these technologies, healthcare organizations can reduce the negative impacts associated with traditional processes and protect patient information from unauthorized access to interventions and research reports. As these technologies continue to mature, their integration with healthcare systems provides an opportunity to build trust and cost-effectiveness in these digital health solutions. This integration not only increases data security but also supports the development of AI applications that can analyze large amounts of medical data. The digital environment is more secure. As the industry evolves, continued research and innovation in quantum technology will be necessary to ensure the confidentiality and integrity of patient data and ultimately improve the quality of care in an ever-changing world.
BBN, Harvard, and Boston University are building the DARPA Quantum Network, the world's first network that delivers end-to-end network security via high-speed Quantum Key Distribution, and testing that Network against sophisticated eavesdropping attacks. The first network link has been up and steadily operational in our laboratory since December 2002. It provides a Virtual Private Network between private enclaves, with user traffic protected by a weak-coherent implementation of quantum cryptography. This prototype is suitable for deployment in metro-size areas via standard telecom (dark) fiber. In this paper, we introduce quantum cryptography, discuss its relation to modern secure networks, and describe its unusual physical layer, its specialized quantum cryptographic protocol suite (quite interesting in its own right), and our extensions to IPsec to integrate it with quantum cryptography.