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)