CyberIntel ⬡ News
★ Saved ◆ Cyber Reads
← Back ◬ AI & Machine Learning Apr 20, 2026

A Framework for Post Quantum Migration in IoT-Based Healthcare Systems

arXiv Security Archived Apr 20, 2026 ✓ Full text saved

arXiv:2604.15584v1 Announce Type: new Abstract: Smart healthcare industry is increasingly relying on Internet of Things (IoT) devices to improve patient care and operational efficiency. However, the cryptographic algorithms that enable fundamental security and are widely used in these cyber systems are vulnerable to attacks by emerging quantum computers - known as Quantum Threat. This paper examines the quantum threat to healthcare IoT across the four layers of the IoT architecture: physical, ne

Full text archived locally
✦ AI Summary · Claude Sonnet


    Computer Science > Cryptography and Security [Submitted on 16 Apr 2026] A Framework for Post Quantum Migration in IoT-Based Healthcare Systems Asif Alif, Khondokar Fida Hasan, Basker Palaniswamy, Md. Morshedul Islam Smart healthcare industry is increasingly relying on Internet of Things (IoT) devices to improve patient care and operational efficiency. However, the cryptographic algorithms that enable fundamental security and are widely used in these cyber systems are vulnerable to attacks by emerging quantum computers - known as Quantum Threat. This paper examines the quantum threat to healthcare IoT across the four layers of the IoT architecture: physical, network, perception, and application. It proposes a comprehensive migration framework integrating a phased hybrid approach with crypto-agility to transition healthcare IoT systems to quantum-safe cryptography. This framework prioritises resource-constrained devices, emphasises interoperability, and considers the challenges of vendor readiness and infrastructure upgrades. This paper contributes a detailed, phased migration plan specifically tailored to the unique security needs and resource limitations of IoT-based healthcare systems. Comments: 9 Pages Subjects: Cryptography and Security (cs.CR) Cite as: arXiv:2604.15584 [cs.CR]   (or arXiv:2604.15584v1 [cs.CR] for this version)   https://doi.org/10.48550/arXiv.2604.15584 Focus to learn more Submission history From: Khondokar Fida Hasan [view email] [v1] Thu, 16 Apr 2026 23:35:49 UTC (927 KB) Access Paper: view license Current browse context: cs.CR < prev   |   next > new | recent | 2026-04 Change to browse by: cs References & Citations NASA ADS Google Scholar Semantic Scholar Export BibTeX Citation Bookmark Bibliographic Tools Bibliographic and Citation Tools Bibliographic Explorer Toggle Bibliographic Explorer (What is the Explorer?) Connected Papers Toggle Connected Papers (What is Connected Papers?) Litmaps Toggle Litmaps (What is Litmaps?) scite.ai Toggle scite Smart Citations (What are Smart Citations?) Code, Data, Media Demos Related Papers About arXivLabs Which authors of this paper are endorsers? | Disable MathJax (What is MathJax?)
    💬 Team Notes
    Article Info
    Source
    arXiv Security
    Category
    ◬ AI & Machine Learning
    Published
    Apr 20, 2026
    Archived
    Apr 20, 2026
    Full Text
    ✓ Saved locally
    Open Original ↗