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 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 Internet of Things (IoT) revolutionised healthcare by enabling remote patient monitoring, improved medication adherence, and chronic disease management. However, this interconnectedness creates vulnerabilities, especially with the looming threat of quantum computing. Quantum computers hold the power to break current encryption standards, safeguarding sensitive patient data in IoT-enabled medical devices. This chapter explores the looming quantum threat to healthcare IoT security. It delves into the potential consequences of compromised encrypted data, including privacy breaches, device malfunctions, and manipulated medical records. To address these issues, the chapter introduces post-quantum cryptography (PQC) and other quantum-resistant techniques (QKD) alongside their key considerations. It analyses the resource constraints (storage, processing power) of typical healthcare IoT devices – pacemakers, monitoring tools, and telemedicine equipment – to determine suitable PQC primitives for different use cases. The chapter then discusses the challenges of implementing these techniques and explores ongoing mitigation projects worldwide.
The Internet of Things (IoT) has transformed healthcare, facilitating remote patient monitoring, enhanced medication adherence, and chronic disease management. However, this interconnected ecosystem faces significant vulnerabilities with the advent of quantum computing, which threatens to break existing encryption standards protecting sensitive patient data in IoT-enabled medical devices. This chapter examines the quantum threat to healthcare IoT security, highlighting the potential impacts of compromised encryption, including privacy breaches, device failures, and manipulated medical records. It introduces post-quantum cryptography (PQC) and quantum-resistant techniques like quantum key distribution (QKD), addressing their application in resource-constrained healthcare IoT devices such as pacemakers, monitoring tools, and telemedicine systems. The chapter further explores the challenges of integrating these solutions and reviews global efforts in mitigating quantum risks, offering insights into suitable PQC primitives for various healthcare use cases.
Abstract With the emergence of quantum computing, traditional cryptographic algorithms face the threat of being compromised, necessitating the development of quantum-resistant alternatives. The Internet of Things (IoT) paradigm presents unique security challenges due to its vast scale and resource-constrained devices. This research aims to address these challenges by proposing a novel quantum-resistant cryptographic algorithm QuantIoT specifically designed for securing IoT devices. The research begins by evaluating the vulnerabilities of existing cryptographic algorithms against quantum attacks and identifying the need for post-quantum solutions in the IoT context. Various families of post quantum cryptographic algorithms, including lattice based and hash based schemes, are examined to assess their suitability for securing IoT devices. Based on the analysis, a novel quantum-resistant cryptographic algorithm tailored for IoT devices is proposed. The algorithm takes into account the limited computational capabilities, power constraints, and communication requirements of IoT devices while offering strong defence against both conventional and quantum threats. The proposed algorithm is evaluated through simulations and practical experiments on a representative IoT platform. Performance metrics, including computation time, memory usage, and communication overhead, are measured and compared against traditional cryptographic algorithms. The results show that the suggested quantum-resistant technique for protecting IoT devices is workable and effective. This research contributes to the growing body of knowledge on post-quantum cryptography and provides valuable insights for the design and implementation of secure IoT systems in the face of quantum threats.
The classic methods of encryption and ciphering techniques have a major threat due to the rapid growth of quantum computing. This is particularly true for the Internet of Medical Things (IoMT) where sensitive patients’ data needs to be protected in terms of confidentiality, integrity, and authenticity. RSA and ECC serve as two examples of public key cryptographic algorithms that are highly vulnerable to quantum attacks especially the Shor’s and Grover’s algorithm. In the context of resource constrained IoMT systems, this thesis proposes a new hash-based hybrid cryptographic algorithm that is resilient to post-quantum cryptographic (PQC) attacks. In order to achieve resistance against quantum threats the proposed method uses hash-based digital signatures such as XMSS, SPHINCS+, or symmetric encryption like AES-256 with higher key sizes. In the Qiskit environment (Python, Anaconda Navigator, and Jupyter Notebook), Grover’s algorithm is modeled to simulate quantum threats. The proposed method is tested through quantum circuit analysis to evaluate their robustness. Our results will prove that the hybrid scheme, while remaining lightweight and suitable for real-time medical applications, significantly lowers the efficiency gains of quantum attacks. The proposed method will bridge the gap between the theoretical world of PQC and the practical world of IoMT networks, improving the long-term security and trust in critical healthcare systems.
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 Internet of Medical Things (IoMT) has become a core component of modern healthcare infrastructures, enabling continuous patient monitoring, remote diagnostics, and data-driven clinical decision-making. Despite these advances, authentication in IoMT environments remains a critical security challenge, intensified by strict resource constraints of medical devices and the emerging threat posed by quantum computing to classical cryptographic techniques. This systematic review investigates authentication mechanisms in IoMT from both post-quantum and system-level perspectives. A structured literature review was conducted using a PRISMA-informed methodology across major scientific databases, including IEEE Xplore, ACM Digital Library, SpringerLink, ScienceDirect, and MDPI. From an initial set of 95 records, 63 studies were selected for qualitative synthesis following screening and eligibility assessment. To organise existing research, this study introduces a multi-dimensional classification framework that categorises authentication solutions according to cryptographic paradigm (classical, hybrid, and post-quantum), deployment architecture, system objectives, and clinical operational constraints. The comparative synthesis demonstrates important trade-offs between security strength, latency, computational overhead, and energy consumption that are frequently underexplored in the existing literature. Furthermore, the analysis identifies key research gaps related to scalability in heterogeneous medical environments, trust establishment across administrative and clinical domains, usability under strict timing constraints, and resilience against quantum-capable adversaries. Based on these findings, future research directions are outlined toward adaptive, lightweight, and context-aware post-quantum authentication frameworks designed for real-world IoMT deployments. Limitations of this review include restriction to English-language publications and selected databases. This study received no external funding, and the review protocol was not formally registered.