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New framework secures medical IoT with post-quantum AI

This research paper proposes a framework for securing Internet of Medical Things (IoMT) devices against quantum computing threats. It integrates Post-Quantum Cryptography (PQC) with federated learning (FL) and edge-native orchestration using Kubernetes. The proposed system aims to protect sensitive health data by ensuring quantum-resilient communication and reducing latency through distributed cryptographic processing, validated on a Raspberry Pi testbed. AI

RANK_REASON The cluster contains a research paper published on arXiv detailing a new technical approach.

Read on arXiv cs.AI →

AI-generated summary · Google Gemini · from 2 sources. How we write summaries →

New framework secures medical IoT with post-quantum AI

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The cluster contains a research paper published on arXiv detailing a new technical approach.
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COVERAGE [2]

  1. arXiv cs.AI TIER_1 English(EN) · Taym Alshoghri, Deemah H. Tashman, Mohammad Reza Gerami, Soumaya Cherkaoui ·

    Securing the Future of IoMT in the Post-Quantum Era: An Edge-Native Federated Learning Approach

    arXiv:2606.14515v1 Announce Type: cross Abstract: Internet of Medical Things (IoMT) devices operate under strict resource constraints while handling highly sensitive health data, making security and privacy critical concerns. Federated learning (FL) further complicates this lands…

  2. arXiv cs.AI TIER_1 English(EN) · Soumaya Cherkaoui ·

    Securing the Future of IoMT in the Post-Quantum Era: An Edge-Native Federated Learning Approach

    Internet of Medical Things (IoMT) devices operate under strict resource constraints while handling highly sensitive health data, making security and privacy critical concerns. Federated learning (FL) further complicates this landscape, as model updates exchanged during training m…