https://github.com/jtperez-acle/secure-biometric
Biometric Wallet
https://github.com/jtperez-acle/secure-biometric
Last synced: 3 months ago
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Biometric Wallet
- Host: GitHub
- URL: https://github.com/jtperez-acle/secure-biometric
- Owner: JtPerez-Acle
- License: apache-2.0
- Created: 2024-12-27T04:57:09.000Z (5 months ago)
- Default Branch: main
- Last Pushed: 2024-12-27T06:45:54.000Z (5 months ago)
- Last Synced: 2024-12-27T07:25:39.753Z (5 months ago)
- Language: Python
- Size: 282 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
# Secure Biometric Analysis System
[]()
[](https://github.com/JtPerez-Acle/secure-biometric?tab=License-1-ov-file#readme)
[](https://www.python.org/downloads/)
[](https://www.rust-lang.org/)
*A state-of-the-art biometric analysis system combining Python's computer vision capabilities with Rust's secure processing engine*
[Getting Started](#getting-started) โข
[Documentation](#documentation) โข
[Features](#key-features) โข
[Architecture](#system-architecture) โข
[Contributing](#contributing)
---
## ๐ฏ Project Overview
The Secure Biometric Analysis System is designed to provide enterprise-grade biometric processing with a focus on security, performance, and accuracy. By combining Python's rich computer vision ecosystem with Rust's systems programming capabilities, we deliver a robust solution for biometric analysis and secure template management.
### ๐ Key Features
```mermaid
mindmap
root((Secure Biometric
System))
Biometric Processing
Video Capture
Frame Optimization
Quality Assessment
Facial Analysis
Landmark Detection
Feature Extraction
3D Processing
Depth Mapping
Mesh Generation
Security
Template Encryption
Access Control
Audit Logging
Compliance
Performance
Parallel Processing
GPU Acceleration
Caching
Load Balancing
Integration
REST APIs
gRPC Services
WebSocket Support
```
## ๐ System Architecture
Our system follows a dual-language architecture that maximizes the strengths of both Python and Rust:
```mermaid
graph TD
subgraph "Python Frontend"
A[Video Input] --> B[Frame Processing]
B --> C[Feature Extraction]
C --> D[3D Analysis]
D --> E[Template Generation]
end
subgraph "Rust Backend"
F[Template Storage] --> G[Encryption Layer]
G --> H[Secure Database]
I[Template Matching] --> J[Parallel Processor]
K[API Gateway] --> L[Auth Service]
end
E -->|Secure Channel| K
L -->|Templates| F
L -->|Match Request| I
H -->|Encrypted Data| I
style A fill:#93c5fd,stroke:#1d4ed8
style E fill:#93c5fd,stroke:#1d4ed8
style K fill:#fca5a5,stroke:#b91c1c
style H fill:#fca5a5,stroke:#b91c1c
```
### Processing Pipeline
```mermaid
sequenceDiagram
participant C as Client
participant P as Python Engine
participant R as Rust Backend
participant D as Database
C->>P: Video Stream
activate P
P->>P: Frame Processing
P->>P: Feature Extraction
P->>P: 3D Analysis
P->>R: Template
deactivate P
activate R
R->>R: Encrypt Template
R->>D: Store Template
R->>R: Process Match
R->>C: Result
deactivate R
```
## ๐งช Testing Framework
Our testing infrastructure ensures reliability, security, and performance across all components:
```mermaid
graph TD
A[Testing Framework] --> B[Security Tests]
A --> C[Performance Tests]
A --> D[Integration Tests]
A --> E[Storage Tests]
B --> B1[Encryption]
B --> B2[Key Management]
B --> B3[Data Integrity]
C --> C1[Load Testing]
C --> C2[Resource Usage]
C --> C3[Benchmarks]
D --> D1[API Testing]
D --> D2[End-to-End]
E --> E1[Template Storage]
E --> E2[Database Ops]
```
### ๐ฏ Test Coverage
The Rust backend features comprehensive test coverage across critical components:
- **Security Testing**
- Encryption/decryption operations
- Key rotation mechanisms
- Nonce uniqueness verification
- Tampering detection
- Data integrity validation
- **Performance Testing**
- Template retrieval: ~215ฮผs per template
- Database writes: 3,500+ ops/sec
- Batch storage: ~300ฮผs per template
- Memory usage monitoring
- Concurrent operation handling
- **Integration Testing**
- API endpoint validation
- Error handling scenarios
- Component interaction verification
- End-to-end flow testing
For detailed testing documentation, see [Rust Testing Documentation](docs/RUST_TESTING.md).
## ๐ Components
### Python Processing Engine
- Real-time video capture and optimization
- 68-point facial landmark detection
- Advanced feature analysis
- 3D depth mapping and mesh generation
- Expression analysis
- Visualization tools
### Rust Security Backend
- Encrypted template storage
- High-performance template matching
- Parallel processing capabilities
- Compliance management
- Audit logging
- Access control
## ๐ Security Features
```mermaid
graph TD
A[Input Data] --> B[Encryption Layer]
B --> C[Secure Storage]
D[Access Request] --> E[Authentication]
E --> F[Authorization]
F --> G[Audit Logging]
H[Template Match] --> I[Secure Channel]
I --> J[Result]
style B fill:#fca5a5,stroke:#b91c1c
style E fill:#fca5a5,stroke:#b91c1c
style I fill:#fca5a5,stroke:#b91c1c
```
- AES-256 encryption for templates
- Secure key management
- Access control and authentication
- Comprehensive audit logging
- GDPR and CCPA compliance
## โก Performance Optimizations
- Parallel processing with Rayon
- GPU acceleration for computations
- Memory-optimized data structures
- Strategic caching
- Load balancing for high availability
## ๐ Documentation
- [Python Process Documentation](docs/PYTHON_PROCESS.md)
- [Rust Backend Design](docs/RUST_BACKEND_DESIGN.md)
- [Project State](PROJECT_STATE.md)
- [Changelog](CHANGELOG.md)
## ๐ฆ Requirements
### Python Dependencies
```python
opencv-python>=4.8.0
dlib>=19.24.0
numpy>=1.24.0
pytorch>=2.0.0
open3d>=0.17.0
```
### Rust Dependencies
```toml
[dependencies]
tokio = { version = "1.35", features = ["full"] }
actix-web = "4.4"
sled = "0.34"
ring = "0.17"
uuid = { version = "1.6", features = ["v4", "serde"] }
serde = { version = "1.0", features = ["derive"] }
serde_json = "1.0"
thiserror = "1.0"
rayon = "1.7"
prometheus = "0.13"
```
## ๐ Latest Features (v0.2.0)
### Security
- ChaCha20-Poly1305 encryption for improved performance
- Enhanced key rotation with proper concurrency handling
- Secure template storage with encryption at rest
- Comprehensive security test suite
### Performance
- Template retrieval: ~215ฮผs per template
- Database writes: 3,500+ ops/sec
- Batch storage: ~300ฮผs per template
- High-throughput database configuration
- Optimized concurrent operations
### Testing
- Comprehensive test framework
- Security-focused test suite
- Performance benchmarking
- Integration testing
- Detailed test documentation
For a complete list of changes, see our [Changelog](CHANGELOG.md).
## ๐ Getting Started
*Coming Soon*
The project is currently in active development. Setup and usage instructions will be provided as components are implemented.
## ๐ค Contributing
We welcome contributions! Please read our contributing guidelines (coming soon) before submitting pull requests.
## ๐ License
This project is licensed - see the [LICENSE](LICENSE) file for details.
## ๐ Acknowledgments
- OpenCV community
- dlib developers
- Rust community
- Security researchers
---
๐ **Project Status**: Under Development
๐ **Last Updated**: 2024-12-30 14:26:59 UTC-03:00
๐ **Version**: 0.2.0