The exponential advancement witnessed in 5G communication and quantum computing has presented unparalleled prospects for safeguarding sensitive data within healthcare infrastructures. This study proposes a novel framework for healthcare applications that integrates 5G communication, quantum computing, and sensitive data measurement to address the challenges of measuring and securely transmitting sensitive medical data. The framework includes a quantum-inspired method for quantifying data sensitivity based on quantum superposition and entanglement principles and a delegated quantum computing protocol for secure data transmission in 5G-enabled healthcare systems, ensuring user anonymity and data confidentiality. The framework is applied to innovative healthcare scenarios, such as secure 5G voice communication, data transmission, and short message services. Experimental results demonstrate the framework's high accuracy in sensitive data measurement and enhanced security for data transmission in 5G healthcare systems, surpassing existing approaches.
The exponential advancement witnessed in 5G communication and quantum computing has presented unparalleled prospects for safeguarding sensitive data within healthcare infrastructures. This study proposes a novel framework for healthcare applications that integrates 5G communication, quantum computing, and sensitive data measurement to address the challenges of measuring and securely transmitting sensitive medical data. The framework includes a quantum-inspired method for quantifying data sensitivity based on quantum superposition and entanglement principles and a delegated quantum computing protocol for secure data transmission in 5G-enabled healthcare systems, ensuring user anonymity and data confidentiality. The framework is applied to innovative healthcare scenarios, such as secure 5G voice communication, data transmission, and short message services. Experimental results demonstrate the framework's high accuracy in sensitive data measurement and enhanced security for data transmission in 5G healthcare systems, surpassing existing approaches.
The advent of next-generation technologies heralds a groundbreaking era in digital connectivity, offering transformative possibilities for revolutionizing the healthcare sector. At the forefront of this evolution is the convergence of 5G communication and quantum computing, a synergy that surpasses incremental improvements to deliver unprecedented advancements. This powerful integration enables ultra-fast data transmission and unparalleled computational capabilities, reshaping the way healthcare systems operate, innovate, and deliver services. With 5G’s ability to provide real-time connectivity across vast networks and quantum computing’s capacity for solving complex computational problems, the healthcare industry is poised to tackle long-standing challenges with unmatched precision and speed. This convergence empowers the rapid processing of vast biomedical datasets, enabling breakthroughs in personalized medicine, accelerating drug discovery, and enhancing remote patient monitoring. Through the seamless exchange of data, 5G ensures that healthcare providers can deliver critical interventions without delay, even in remote or underserved regions, while quantum computing’s immense analytical power transforms disease prediction and treatment planning. This pioneering shift holds the promise of a future where healthcare becomes a seamless, data-driven experience, advancing human well-being and redefining the boundaries of medical science.
Digital healthcare is essential to facilitate consumers to access and disseminate their medical data easily for enhanced medical care services. However, the significant concern with digitalization across healthcare systems necessitates for a prompt, productive, and secure storage facility along with a vigorous communication strategy, to stimulate sensitive digital healthcare data sharing and proactive estimation of malicious entities. In this context, this paper introduces a comprehensive quantum-based framework to overwhelm the potential security and privacy issues for secure healthcare data management. It equips quantum encryption for the secured storage and dispersal of healthcare data over the shared cloud platform by employing quantum encryption. Also, the framework furnishes a quantum feed-forward neural network unit to examine the intention behind the data request before granting access, for proactive estimation of potential data breach. In this way, the proposed framework delivers overall healthcare data management by coupling the advanced and more competent quantum approach with machine learning to safeguard the data storage, access, and prediction of malicious entities in an automated manner. Thus, the proposed IQ-HDM leads to more cooperative and effective healthcare delivery and empowers individuals with adequate custody of their health data. The experimental evaluation and comparison of the proposed IQ-HDM framework with state-of-the-art methods outline a considerable improvement up to 67.6%, in tackling cyber threats related to healthcare data security. Note to Practitioners—This paper aims to address the issue of digital healthcare data access, which requires both ease and security. Existing research either focuses solely on safe access or on high security, which often comes with high computational challenges. In this paper, we present a comprehensive approach that takes into account various challenges such as secure data storage, efficient data communication, and the prediction of malicious entities. We have developed a mathematical system to portray the overall management of healthcare data. All techniques proposed in this paper have been implemented using quantum computing and have been tested on four healthcare datasets. Initial experimental results suggest that the proposed approach is feasible. Our techniques can be applied to discover malicious entities and understand the behavior of real-life users in healthcare processes.
The rapid growth of digital healthcare systems and connected medical devices has amplified the need for advanced data protection strategies. Traditional security methods face growing challenges from increasing computational power and emerging threats, including the potential impact of quantum computing. This chapter explores the integration of quantum-inspired security and neuromorphic computing as a novel approach for safeguarding sensitive medical data. Quantum-inspired techniques provide strong, future-resistant encryption by leveraging principles such as quantum key distribution and quantum-randomized algorithms, ensuring secure storage, transmission, and access control of patient information. Neuromorphic computing, modelled after the human brain, offers energy-efficient, adaptive, and parallel processing capabilities, making it ideal for edge devices like wearable sensors and Internet of Things enabled medical equipment. By combining these two technologies, healthcare systems can achieve a hybrid framework that enables quantum-resilient encryption, real-time anomaly detection, and adaptive threat monitoring, all with minimal latency and power consumption. This approach not only strengthens patient data privacy and regulatory compliance but also lays the foundation for scalable, intelligent, and secure medical data infrastructures. The chapter further discusses implementation strategies, potential applications, and future directions, highlighting the transformative potential of these emerging technologies in shaping next-generation healthcare security solutions.
The secure Medical Internet of Things (IoT) is revolutionizing patient monitoring and healthcare data man-agement in military environments, where real-time health as-sessments of soldiers are critical. However, the exchange of sensitive medical data in these interconnected systems raises concerns about data security and privacy, particularly in military operations. This paper proposes a Quantum-Enhanced Seman-tic Communication framework to secure medical IoTin such contexts. Combining quantum communication with semantic interoperability, the framework leverages quantum mechanics principles such as entanglement and superposition to enable encryption and decryption that are resistant to conventional and emerging cyber threats. This research comprehensively analyzes quantum key distribution protocols and semantic interoperability standards to create a robust solution for secure medical data exchange in military IoTnetworks. The framework is tested with health monitoring sensors that transmit semantically rich data, protected by quantum encryption, in a simulated military environment. As quantum computing evolves, this approach offers a path to safeguard sensitive medical information in military settings, improving data security and improving the efficiency of healthcare services for soldiers.
The emergence of 5G networks has revolutionized healthcare delivery by enabling communication with ultra-low latency, massive connectivity, and quick access to IoT devices' medical data. The digitalization of healthcare has, however, introduced privacy, data security, and scalability as major challenges, and the issues have been worsened by the rapid digitalization of the healthcare industry. The current review paper is a comprehensive evaluation of the role of Quantum Machine Learning (QML) as a paradigm for data handling with privacy preserved in the healthcare ecosystems supported by 5G. It collects advancements in quantum cryptography, Quantum Key Distribution (QKD), federated learning, and blockchain technology to explore how the combining of such technologies will enhance the confidentiality, interoperability, and real-time decision-making of the data. The review arranges and compares the state-of-theart research of 2019-2025, in which the trends, architectures, and security protocols that link classical and quantum methods in healthcare analytics become visible. It also addresses the main hurdles like quantum hardware limitations, interoperability gaps, and the tuning of federated models, and it indicates potential future research paths for the development of healthcare infrastructure that is scalable, reliable, and quantum-resistant. In conclusion, this paper gives a thorough understanding of how quantum intelligence can alter the data security and privacy landscape in 5G-enabled smart healthcare systems.
The integration of quantum communication protocols into cloud-based healthcare systems promises to revolutionize the way sensitive medical data was transmitted, stored, and accessed. As healthcare organizations increasingly rely on cloud infrastructures to manage vast amounts of patient data, the security of this information becomes paramount. Quantum communication offers unprecedented levels of security, utilizing quantum key distribution (QKD) and entanglement-based methods to protect data from interception and unauthorized access. This chapter explores the critical role of quantum communication protocols in securing cloud-based healthcare systems, focusing on the challenges and opportunities presented by quantum technologies. It examines the need for robust encryption methods to protect sensitive medical data and ensure privacy compliance in the face of evolving cyber threats. The chapter also discusses hybrid quantum-classical systems, which combine the benefits of both quantum and classical protocols to enhance scalability and efficiency in cloud environments. Additionally, the limitations of current quantum hardware, such as photon loss and decoherence, are addressed, along with strategies to mitigate these challenges. The importance of training healthcare professionals and cloud engineers in quantum communication technologies was also emphasized to ensure effective implementation and ongoing maintenance of secure healthcare infrastructures. By highlighting the transformative potential of quantum communication for predictive healthcare models, this chapter provides a comprehensive overview of the future of healthcare security in the cloud.