In today's medical world, Medical Cyber-Physical Systems (MCPS) are becoming more and more important because they allow medical equipment that are linked to receive data, be monitored, and make decisions automatically in real time. However, strong and future-proof security measures are needed because medical data is sensitive and confidential; The Risk of getting exposed online is growing. Traditional cryptographic systems can be broken by attacks that use quantum mechanics and computers that are getting faster. This makes quantum-secured communication very important. By using Quantum Key Distribution (QKD), this study solves the important problem of keeping key management and sharing safe in MCPS. Our goal is to create a safe and effective quantum-enhanced encryption system that protects privacy, stability, and resistance to threats from other parties. The research suggests a mixed cryptography system that combines symmetric keys produced by quantum randomness with RSA-AES encryption methods. This would benefit from both the strengths of quantum randomness and well-known cryptographic standards. Using a seven-step QKD process to make a quantum key: random bit generation, photon state encoding, quantum transfer, basis reconciliation, spying detection, privacy amplification, and symmetric encryption via XOR are the steps that are used. The safe AES-GCM encryption of medical data is reinforced by RSA encryption of AES keys, providing two levels of privacy. Man-in-the-Middle (MITM), Brute-Force, Dictionary, Timing, and Chosen Cipher text Attacks (CCA) are some of the offender models used in the experimental review. Findings show that QKD provides strong protection against key theft and hacking, and the mixed RSA-AES system performs well in terms of encryption time, verification, and decoding accuracy. Attack modelling results show that the system is good at finding or reducing intrusions. The study creates a quantum-secure key sharing system that can be used on a large scale to protect important data in medical cyber-physical settings.
In today's medical world, Medical Cyber-Physical Systems (MCPS) are becoming more and more important because they allow medical equipment that are linked to receive data, be monitored, and make decisions automatically in real time. However, strong and future-proof security measures are needed because medical data is sensitive and confidential; The Risk of getting exposed online is growing. Traditional cryptographic systems can be broken by attacks that use quantum mechanics and computers that are getting faster. This makes quantum-secured communication very important. By using Quantum Key Distribution (QKD), this study solves the important problem of keeping key management and sharing safe in MCPS. Our goal is to create a safe and effective quantum-enhanced encryption system that protects privacy, stability, and resistance to threats from other parties. The research suggests a mixed cryptography system that combines symmetric keys produced by quantum randomness with RSA-AES encryption methods. This would benefit from both the strengths of quantum randomness and well-known cryptographic standards. Using a seven-step QKD process to make a quantum key: random bit generation, photon state encoding, quantum transfer, basis reconciliation, spying detection, privacy amplification, and symmetric encryption via XOR are the steps that are used. The safe AES-GCM encryption of medical data is reinforced by RSA encryption of AES keys, providing two levels of privacy. Man-in-the-Middle (MITM), Brute-Force, Dictionary, Timing, and Chosen Cipher text Attacks (CCA) are some of the offender models used in the experimental review. Findings show that QKD provides strong protection against key theft and hacking, and the mixed RSA-AES system performs well in terms of encryption time, verification, and decoding accuracy. Attack modelling results show that the system is good at finding or reducing intrusions. The study creates a quantum-secure key sharing system that can be used on a large scale to protect important data in medical cyber-physical settings.
The healthcare sector increasingly relies on Cyber-Physical Systems (CPS) that integrate medical devices, networks, and digital records to deliver critical patient care. Protecting sensitive medical data within these interconnected systems is vital due to potential privacy violations and safety risks. The initiation of quantum computing poses substantial threats to traditional cryptographic algorithms, which underpin current healthcare data security. This article examines the deployment of quantum-safe cryptographic algorithms considered to resist quantum attacks, enabling robust protection of healthcare CPS. It highlights advanced encryption methods including lattice-based, hash-based, and code-based post-quantum schemes, alongside quantum key distribution (QKD) for secure key management. The discussion includes challenges related to healthcare-specific system constraints, regulatory compliance, and integration complexity. Through adopting quantum-resistant cryptography and comprehensive key management protocols, healthcare organizations can safeguard electronic health records (EHRs), device communication, and patient data against incipient post-quantum threats, ensuring long-term data confidentiality, integrity, and system resilience.
As the world becomes more computerized, keeping data transfer safe has become very important. Quantum computers and other strong computers have the ability to break classical encryption methods, even though they are widely used. Quantum Key Distribution (QKD) is a new way to protect data. It uses quantum physics to make sure that the sharing of cryptographic keys is safe. The aim of this study is to look into how QKD can be used to improve the security of data transfer. The suggested method combines QKD with current encryption standards to create a safe and effective way to send data. The method includes setting up a key sharing system based on QKD and then using symmetric encryption algorithms to keep the data being sent safe. The system is tried in different communication settings to see how well it protects against spying and "man-in-the-middle" attacks. The study's results show that QKD greatly improves the safety of sending data by keeping the cryptography keys secret. The results show that QKD has the potential to stop people from getting in without permission and find any attempts to change the keys while they are being sent out. The table below shows performance numbers that show how well QKD works in real-world situations. It shows how well communication speeds and security measures compare.
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.
Healthcare requires data encryption to safeguard sensitive patient information from unauthorized access or breaches. Encryption ensures that data is encoded into a secure format, making it unreadable to anyone without the decryption key. This helps maintain patient privacy, protects against identity theft, and ensures compliance with data protection regulations like HIPAA (Health Insurance Portability and Accountability Act.). With encryption, healthcare organizations can mitigate the risk of data breaches and uphold trust with patients by ensuring the confidentiality and integrity of their medical records and personal information. Quantum cryptography emerges as a revolutionary solution, offering unparalleled encryption for healthcare data. This process initiates with the meticulous crafting of quantum states to encapsulate healthcare data securely, ensuring precise encoding. Subsequently, quantum entanglement is established between sender and receiver, creating a secure communication channel resistant to interception attempts. Quantum key distribution then generates a secure key leveraging entangled quantum states, becoming the cornerstone of encryption. Quantum encryption shields healthcare data in an impenetrable veil of secrecy, leveraging the complexities of quantum mechanics to thwart unauthorized decryption attempts. The decryption process, facilitated by the shared secure key, unveils the encrypted healthcare data exclusively to authorized parties, preserving confidentiality with unparalleled precision. The result reveals quantum cryptography's superiority in healthcare data encryption. At 150-bit key length, quantum cryptography takes 352,237 milliseconds vs. AES's 310,285 milliseconds. For a 14 KB input, quantum cryptography requires 7 milliseconds compared to AES's 12 milliseconds. These metrics highlight quantum cryptography's efficiency gains and transformative potential in healthcare data security, promising both enhanced security and efficiency benefits.
Healthcare requires data encryption to safeguard sensitive patient information from unauthorized access or breaches. Encryption ensures that data is encoded into a secure format, making it unreadable to anyone without the decryption key. This helps maintain patient privacy, protects against identity theft, and ensures compliance with data protection regulations like HIPAA (Health Insurance Portability and Accountability Act.). With encryption, healthcare organizations can mitigate the risk of data breaches and uphold trust with patients by ensuring the confidentiality and integrity of their medical records and personal information. Quantum cryptography emerges as a revolutionary solution, offering unparalleled encryption for healthcare data. This process initiates with the meticulous crafting of quantum states to encapsulate healthcare data securely, ensuring precise encoding. Subsequently, quantum entanglement is established between sender and receiver, creating a secure communication channel resistant to interception attempts. Quantum key distribution then generates a secure key leveraging entangled quantum states, becoming the cornerstone of encryption. Quantum encryption shields healthcare data in an impenetrable veil of secrecy, leveraging the complexities of quantum mechanics to thwart unauthorized decryption attempts. The decryption process, facilitated by the shared secure key, unveils the encrypted healthcare data exclusively to authorized parties, preserving confidentiality with unparalleled precision. The result reveals quantum cryptography's superiority in healthcare data encryption. At 150-bit key length, quantum cryptography takes 352,237 milliseconds vs. AES's 310,285 milliseconds. For a 14 KB input, quantum cryptography requires 7 milliseconds compared to AES's 12 milliseconds. These metrics highlight quantum cryptography's efficiency gains and transformative potential in healthcare data security, promising both enhanced security and efficiency benefits.
The increasing digitalization of the healthcare system, driven by electronic health records, medical IoT devices, and AI-aided diagnostics, has significantly expanded the attack surface for cyber threats. Although current cryptographic protocols provide sufficient security against classical adversaries, new developments in quantum computing threaten the confidentiality, integrity, and availability of medical information as never before. Shor’s algorithm could break widely used asymmetric encryption systems, and Grover’s algorithm weakens symmetric ones, which could render modern healthcare security systems obsolete. This review provides an in-depth and organized analysis of the evolving quantum threat environment in healthcare ecosystems and of the need to move toward quantum-resilient security architectures. It synthesizes the existing literature on post-quantum cryptography (PQC) and identifies lattice-based, hash-based, multivariate, and code-based algorithms as potentially viable long-term replacements. Moreover, it examines the cybersecurity issues that quantum-enabled attacks pose to medical IoT systems, clinical decision-support systems, wearable sensors, telemedicine systems, and cloud-based health information exchanges. The review also covers hybrid quantum-classical defenses, quantum key distribution (QKD), quantum random number generation (QRNG), and blockchain-based trust systems that aim to make systems resilient to advanced persistent quantum attacks. This paper identifies key gaps and outlines future research directions for developing quantum-secure medical systems. The results highlight the importance of early adoption of PQC standards and a layered cyber defense approach to protect patient privacy, ensure regulatory compliance, and retain trust in next-generation digital medical data communication.