Post Quantum Pharmacovigilance Pipeline

---
name: post-quantum-pharmacovigilance-pipeline
description: "Post-quantum secure pharmacovigilance data pipeline methodology using ML-KEM-768, ML-DSA-65, HKDF-SHA-256, and AES-256-GCM. Educational prototype for healthcare data pipeline security in the post-quantum era. Covers component architecture, file format support, and performance benchmarking."
tags: ["quantum", "security", "healthcare", "post-quantum", "pharmacovigilance"]
related_skills: ["post-quantum-cryptographic-protocol-analysis", "quantum-safe-pqc-deployment"]
---

# Post-Quantum Pharmacovigilance Pipeline

Design and implement post-quantum cryptographic (PQC) security for pharmacovigilance and healthcare data pipelines.

## Cryptographic Stack

| Layer | Primitive | Purpose |
|-------|-----------|---------|
| Key Establishment | ML-KEM-768 | Post-quantum key exchange |
| Key Derivation | HKDF-SHA-256 | Derive AES key from shared secret |
| Encryption | AES-256-GCM | Efficient symmetric file encryption |
| Signatures | ML-DSA-65 | Digital signatures, tamper detection |

## Pipeline Architecture

```
Hospital → Gateway → Pharma Receiver
    ↑          ↑           ↑
  Encrypt    Route      Decrypt + Verify
  (ML-KEM +  (Forward)  (ML-DSA verify +
   AES-GCM)              AES-GCM decrypt)
```

### Components

1. **Hospital**: Encrypts files with ML-KEM-768 + AES-256-GCM
2. **Gateway**: Routes encrypted data
3. **Pharma Receiver**: Verifies ML-DSA-65 signatures, decrypts
4. **Attacker**: Simulates interception attempts
5. **Benchmarking**: Measures latency/overhead
6. **Dashboard**: Monitoring and visualization

## File Format Support

- TXT, CSV, JSON, PDF
- Raw byte-level processing preserves metadata
- Reconstruction at receiver end

## Performance Characteristics

- ML-KEM: Small constant overhead (independent of file size)
- AES encryption: Dominates runtime as file size increases
- ML-DSA signing: Dominates runtime as file size increases
- Distributed crypto processing: Significantly lower latency than sequential

## Implementation Notes

- This is an **educational prototype**, not production-ready
- Focus on systems-level PQC integration patterns
- Raspberry Pi testbed validated feasible resource overhead
- Future: energy-aware architectures, intelligent security optimization

## Activation

pqc pharmacovigilance, post-quantum healthcare, ML-KEM pipeline, ML-DSA healthcare, quantum-secure drug safety, pharmacovigilance encryption, healthcare PQC migration, ML-KEM-768, ML-DSA-65

## References

- arXiv:2606.09412 — "Towards Post-Quantum Secure Pharmacovigilance with ML-KEM and ML-DSA" (2026)