The rapid adoption of Internet of Medical Things (IoMT) devices enables real-time patient monitoring and remote diagnostics and has revolutionized healthcare delivery. Traditional cryptographic schemes like RSA and ECC, which rely on meaningful mathematical challenges, are under great threat from quantum computing, threatening sensitive medical data confidentiality and integrity. This paper proposes a quantum-resistant healthcare security framework based on lattice-based cryptographic primitives such as Learning With Errors (LWE), Ring-LWE (RLWE), and Short Integer Solution (SIS). To this end, we design a five-phase IoMT-friendly framework—Initialization, Registration, Authentication, Data Exchange, and Treatment—where each phase is backed up by lightweight cryptography primitives that can be easily implemented on the low-resource IoMT devices. Relative to the state-of-the-art lattice- and hash-based constructions, our framework involves 50-75% smaller ciphertext sizes, up to a 50% reduction of the communication overhead, and nearly 60% less in computational cost. Furthermore, the solution relies on zero-knowledge proofs, homomorphic encryption as well and attribute-based access control to guarantee strong security and privacy. Using the AVISPA tool, the framework is formally verified, showing its resistance against classical and quantum adversaries. Focusing on tangible healthcare threats, including data tampering and unlicensed access to patient diagnostics, this research paves the way for scalable, efficient, and quantum-resistant medical data protection. Our results pave the way for future investigations into secure post-quantum healthcare and IoT applications.
The rapid adoption of Internet of Medical Things (IoMT) devices enables real-time patient monitoring and remote diagnostics and has revolutionized healthcare delivery. Traditional cryptographic schemes like RSA and ECC, which rely on meaningful mathematical challenges, are under great threat from quantum computing, threatening sensitive medical data confidentiality and integrity. This paper proposes a quantum-resistant healthcare security framework based on lattice-based cryptographic primitives such as Learning With Errors (LWE), Ring-LWE (RLWE), and Short Integer Solution (SIS). To this end, we design a five-phase IoMT-friendly framework—Initialization, Registration, Authentication, Data Exchange, and Treatment—where each phase is backed up by lightweight cryptography primitives that can be easily implemented on the low-resource IoMT devices. Relative to the state-of-the-art lattice- and hash-based constructions, our framework involves 50-75% smaller ciphertext sizes, up to a 50% reduction of the communication overhead, and nearly 60% less in computational cost. Furthermore, the solution relies on zero-knowledge proofs, homomorphic encryption as well and attribute-based access control to guarantee strong security and privacy. Using the AVISPA tool, the framework is formally verified, showing its resistance against classical and quantum adversaries. Focusing on tangible healthcare threats, including data tampering and unlicensed access to patient diagnostics, this research paves the way for scalable, efficient, and quantum-resistant medical data protection. Our results pave the way for future investigations into secure post-quantum healthcare and IoT applications.
Digital Twins (DTs) play a crucial role in context-aware Internet of Things (IoT) applications within the healthcare sector, including the industrial healthcare domain, by facilitating the continuous sharing of sensitive and confidential patient data from physical objects in real time. This shared data is essential for treatment planning and decision-making processes, often being accessed remotely by authorized users. However, traditional security mechanisms, which rely on the integer factorization problem (IFP) and the elliptic curve discrete logarithm problem (ECDLP), are vulnerable to quantum attacks using algorithms like Shor's, posing significant risks to data protection. As a result, the healthcare sector faces several security challenges, including the vulnerability of sensitive patient data to cyberattacks, quantum threats, the risk of unauthorized access to medical devices and IoT systems, and the increasing sophistication of cybercriminals exploiting weak authentication methods. To address these issues, we propose a quantum-resistant protocol that safeguards data privacy in DT-enabled IoT healthcare applications, ensures secure transmission of information, maintains patient trust, supports long-term data confidentiality, and protects medical devices and IoT systems from potential breaches. By employing lattice-based cryptographic techniques, particularly the ring learning with errors (RLWE) problem, the proposed scheme effectively addresses contemporary security challenges, including those posed by quantum computing. Real-time experiments conducted on Raspberry Pi 4 devices, along with computational overhead analysis, demonstrate the protocol's efficiency. Additionally, formal security validation using the Scyther tool and security analysis with the RoR model reinforce the robustness of the proposed protocol. A comprehensive comparative evaluation against existing schemes highlights its lightweight, scalable, and efficient nature. Furthermore, performance evaluations in the context of unknown attacks show that the proposed scheme significantly outperforms current alternatives in terms of effectiveness.
Internet of Medical Things (IoMT) system is a collection of devices and software which are applied in medical care domains. In a IoMT system, patients and doctors conduct remote diagnosis and treatment through a health data sharing scheme. These data sharing schemes faces privacy challenges if the medical information gets leaked. However, the existing privacy-preserving data sharing schemes usually use classical encryption/signature algorithm, which will turn to be not secure under the development of quantum computer. In this paper, we propose a privacy-preserving data sharing scheme using lattice-based cryptography, the ring learning with errors (RLWE) cryptography. Our scheme integrates both quantum-resistant encryption and digital signature algorithm based on RLWE, in order to realize the resistance to quantum attack for the whole life cycle of data. In addition, the performance evaluation shows that the proposed scheme gets 75.7% higher efficiency than the existing schemes.
The rapid expansion of Internet of Things (IoT) ecosystems has introduced significant security challenges due to resource-constrained devices, heterogeneous network architectures, and largescale connectivity. Traditional authentication and key exchange mechanisms, primarily based on classical cryptographic algorithms such as RSA and ECC, are vulnerable to future quantum computing attacks. The emergence of quantum algorithms, particularly Shor’s algorithm, threatens the long-term confidentiality and integrity of IoT communications. This paper proposes a Quantum-Resistant Authentication and Key Exchange Protocol specifically designed for secure IoT architectures. The proposed framework integrates post-quantum cryptographic primitives, including lattice-based key exchange mechanisms and hash-based authentication schemes, optimized for low computational overhead suitable for constrained IoT devices. The protocol ensures mutual authentication, forward secrecy, and resistance against quantum adversaries while maintaining minimal communication latency. Security analysis demonstrates robustness against replay, man-in-the-middle, and key-compromise attacks. Performance evaluation shows that the proposed solution achieves a balance between quantum security strength and resource efficiency, making it suitable for next-generation IoT deployments in smart cities, healthcare systems, and industrial automation.
With IoMT, healthcare is being changed rapidly by allowing data from patients to be monitored and managed remotely. But the fact that IoMT devices have weak resources, need strict timing and send sensitive data makes it challenging to secure and operate efficiently. As quantum computers are almost ready to break conventional cryptography, it is important to create post-quantum cryptographic methods for the IoMT. The paper introduces an Energy-Saving, Layered and Safe Routing Protocol (EEMSRP) for use in post-quantum cryptographic networks in the IoMT. It includes several layers of security, using lattice-based post-quantum cryptography and improved routing methods to cut back on energy use. The framework uses hierarchical architecture to organize devices, adopts clustering and relies on lightweight algorithms for post-quantum key exchange. Results from simulations find that EEMSRP is able to save up to 30% of the energy used by existing quantum-resistant protocols, but still remains secure against eavesdropping, man-in-the-middle attacks and quantum-based cryptanalysis. Because of its multi-layer defense, the protocol guarantees the privacy, accuracy and continued accessibility of IoMT data. This research provides a base for upcoming secure and power-efficient communication standards in the post-quantum world, which is important for guarding private medical details and guaranteeing reliable IoMT use.
The burgeoning Internet of Medical Things (IoMT) necessitates robust security for sensitive patient data transmitted during telemedicine practices. However, traditional cryptography faces potential obsolescence due to quantum computing advancements. This research addresses this challenge by introducing an adaptive quantum-resistant cipher suite specifically designed for IoMT telemedicine. The suite incorporates a family of post-quantum cryptography (PQC) algorithms, enabling dynamic selection based on device capabilities and data sensitivity. We evaluate the suite's security using a theoretical framework considering various cryptanalysis techniques. Additionally, performance is assessed on simulated IoMT devices using metrics like encryption/decryption speed and resource consumption. Compared to traditional methods, the proposed suite offers demonstrably stronger quantum-resistant security without compromising efficiency on resource-constrained devices. This research holds significant promise for securing telemedicine within the IoMT landscape, promoting patient privacy and trust in remote healthcare delivery.
The rapid growth of the Internet of Things (IoT) has connected billions of smart devices across healthcare, transportation, industrial automation, and smart home environments. While IoT has enhanced automation and data-driven decision-making, its widespread deployment has also increased the risk of cyberattacks. Conventional public-key cryptographic algorithms such as RSA and Elliptic Curve Cryptography (ECC) are vulnerable to future quantum computing attacks, particularly those based on Shor's algorithm. This paper proposes a Quantum-Resistant Cryptographic Framework (QRCF) for secure IoT communication using lattice-based cryptography integrated with lightweight authentication and efficient key management. The framework is designed to meet the computational limitations of IoT devices while ensuring long-term confidentiality and integrity. Performance evaluation demonstrates improvements in security resilience, authentication efficiency, and communication reliability compared with traditional cryptographic approaches. The proposed framework offers a scalable and future-ready solution for protecting IoT ecosystems in the post-quantum era.