Post-quantum cryptography (PQC) migration framework for Internet of Medical Things (IoMT) with edge-native federated learning security
Scanned 9/11/2026
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---
name: post-quantum-iot-healthcare
description: Post-quantum cryptography (PQC) migration framework for Internet of Medical Things (IoMT) with edge-native federated learning security
category: medical
trigger_words: post-quantum healthcare, IoMT security, federated learning security, medical device cryptography, NIST PQC, ML-KEM, ML-DSA
---
# Post-Quantum IoMT Security Methodology
## Core Technique
**Source**: arXiv:2606.14515 - "Securing the Future of IoMT in the Post-Quantum Era: An Edge-Native Federated Learning Approach"
## Key Challenge
IoMT devices handle sensitive health data under strict resource constraints. Quantum computing threatens classical cryptography. Federated learning adds privacy complexity.
## Implementation Pattern
1. **NIST PQC Migration**: ML-KEM (key encapsulation) + ML-DSA (digital signatures)
2. **Edge-Native Architecture**: PQC operations optimized for edge devices
3. **Federated Learning Security**: Secure model update exchange with post-quantum guarantees
4. **Privacy Preservation**: Differential privacy + PQC for medical data protection
## Migration Framework
- Phase 1: Audit existing cryptographic infrastructure
- Phase 2: Implement hybrid classical/PQC transitions
- Phase 3: Full PQC deployment with key rotation
- Phase 4: Continuous monitoring and crypto-agility
## Design Principles
1. **Crypto-agility**: Design for future algorithm updates
2. **Edge optimization**: PQC must run on resource-constrained devices
3. **Layered security**: PQC + differential privacy + federated learning
4. **Regulatory compliance**: HIPAA, GDPR, medical device standards
## Activation
Keywords: post-quantum healthcare, IoMT security, federated learning security, medical device cryptography, NIST PQC, ML-KEM, ML-DSA
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