secure-media-processor 2.1.0

Secure data pipeline for transferring sensitive data from cloud to local GPU processing

Secure Media Processor

A secure data pipeline for transferring sensitive data from cloud to local GPU processing

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The Problem

You have sensitive data (medical images, confidential documents, research data) stored in the cloud. You need to process it on your local GPU workstation. How do you transfer it securely?

Traditional approaches leave data vulnerable:

• Cloud providers can access unencrypted data
• Data sits decrypted during processing
• No audit trail for compliance (HIPAA, GDPR)
• Sensitive files left on disk after processing

The Solution

┌─────────────────────────────────────────────────────────────────────────────┐
│                                                                             │
│   [Hospital/Cloud]  ══════════════►  [Your GPU Workstation]                │
│                           │                                                 │
│                     ┌─────┴─────┐                                           │
│                     │ ENCRYPTED │                                           │
│                     │  SECURE   │                                           │
│                     │ PIPELINE  │                                           │
│                     └───────────┘                                           │
│                                                                             │
│   • Data encrypted BEFORE leaving source                                   │
│   • Keys NEVER leave your workstation                                      │
│   • Decryption ONLY on your local machine                                  │
│   • Audit trail for compliance                                             │
│   • Secure deletion after processing                                       │
│                                                                             │
└─────────────────────────────────────────────────────────────────────────────┘

Secure Media Processor is a secure pipeline that ensures sensitive data is protected at every stage—from cloud storage to local GPU processing and cleanup.

Key Features

End-to-End Encryption

• AES-256-GCM authenticated encryption
• ECDH key exchange for multi-party transfers
• Zero-knowledge mode — cloud provider never sees plaintext

Multi-Cloud Support

• AWS S3
• Google Drive
• Dropbox
• Azure Blob Storage (coming soon)

Compliance Ready

• HIPAA/GDPR compliant audit logging
• Immutable audit trail with cryptographic verification
• Configurable retention policies

Secure by Default

• Multi-pass secure deletion (DoD 5220.22-M)
• Encrypted key storage
• Checksum verification on all transfers

Quick Start

Installation

pip install secure-media-processor

Basic Usage

from secure_media_processor import Pipeline, TransferMode

# Initialize secure pipeline
pipeline = Pipeline(
    encryption_key="~/.smp/keys/master.key",
    audit_log="~/.smp/audit/"
)

# Add your cloud source
pipeline.add_source('hospital', S3Connector(
    bucket_name='patient-scans',
    region='us-east-1'
))

# Secure download to local GPU workstation
manifest = pipeline.secure_download(
    source='hospital',
    remote_path='mri-scans/patient-001/',
    local_path='/secure/gpu-workspace/',
    mode=TransferMode.ZERO_KNOWLEDGE  # Maximum security
)

# Verify data integrity
assert pipeline.verify_integrity(manifest)

# Process locally on your GPU (your code here)
results = your_ml_model.process(manifest.destination)

# Secure cleanup when done
pipeline.secure_delete(manifest.destination)

Who Is This For?

• Medical researchers processing patient MRI/CT scans
• Healthcare organizations meeting HIPAA requirements
• Research institutions handling sensitive data
• Anyone who needs to securely move data to GPU for processing

Architecture

secure-media-processor/
├── src/
│   ├── core/                    # Core pipeline functionality
│   │   ├── secure_transfer.py   # Main transfer pipeline
│   │   ├── encryption.py        # AES-256-GCM encryption
│   │   ├── audit_logger.py      # Compliance logging
│   │   └── key_exchange.py      # ECDH key exchange
│   ├── connectors/              # Cloud storage connectors
│   │   ├── s3_connector.py
│   │   ├── google_drive_connector.py
│   │   └── dropbox_connector.py
│   └── cli.py                   # Command-line interface
├── plugins/                     # Optional processing plugins
│   └── smp_medical/             # Medical imaging plugin
└── docs/                        # Documentation
    ├── architecture/
    ├── api/
    └── examples/

Plugin Architecture

The core package focuses on secure data transfer. Domain-specific processing is handled by optional plugins:

# Medical imaging (DICOM, U-Net segmentation)
pip install secure-media-processor[medical]

# Video processing (coming soon)
pip install secure-media-processor[video]

Plugins process data locally after it has been securely transferred.

Documentation

• Security Model — Threat model, encryption details
• Data Flow — How data moves through the pipeline
• Pipeline API — Core API reference
• Examples — Working code examples

Security Model

Stage	Protection
At rest (cloud)	AES-256-GCM encryption
In transit	AES-256-GCM + TLS
At rest (local)	Encrypted with master key
Processing	Decrypted only in memory
Cleanup	Multi-pass secure deletion

Zero-Knowledge Transfer: In this mode, data is encrypted at the source (e.g., hospital) using a shared key derived via ECDH. The cloud provider never has access to the plaintext or decryption keys.

Compliance

HIPAA

• Audit logging with 6-year retention
• Access controls (local-only decryption)
• Encryption meets requirements

GDPR

• Data minimization support
• Right to erasure (secure deletion)
• Complete audit trail

CLI Usage

# Encrypt a file locally
smp encrypt sensitive-data.dcm encrypted.bin

# Download from cloud (decrypts locally)
smp download s3://bucket/path/file.enc ./local-file.dcm

# Secure delete
smp delete --secure ./sensitive-data.dcm

# View system info
smp info

Roadmap

Version 2.0 (Current Focus)

• Core secure transfer pipeline
• ECDH key exchange
• HIPAA-compliant audit logging
• Plugin architecture
• Streaming transfer for large files
• Azure Blob Storage connector

Future

• Docker containerization
• REST API server
• Web dashboard
• Hardware Security Module (HSM) integration

Contributing

We welcome contributions! See CONTRIBUTING.md.

Priority areas:

• Additional cloud connectors
• Performance optimization
• Security auditing

Security

Security is the core mission. If you discover a vulnerability, please see our Security Policy for responsible disclosure.

License

MIT License — see LICENSE.

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Secure Media Processor — Your data, your GPU, your control.

Built for researchers who need security without compromise.