Technical Appendix

Detailed technical documentation and implementation specifications

Research Methodology
Experimental Design
Phase Description Tools Used
Setup Environment configuration and baseline establishment Docker, Kubernetes
Data Collection System metrics and security event logging Prometheus, ELK Stack
Analysis Pattern recognition and anomaly detection Python, TensorFlow
Validation Results verification and peer review Jupyter, Git
Research Framework
Component Purpose Status
Quantum Simulation Quantum circuit modeling and analysis Complete
Classical Baseline Traditional security comparison Complete
Hybrid Integration Combined quantum-classical systems In Progress
Performance Metrics System efficiency evaluation Planned
Tool Configurations
Quantum Simulator
{
    "version": "1.2.0",
    "qubits": 20,
    "gates": ["H", "X", "CNOT", "SWAP"],
    "optimization_level": 3,
    "backend": "qasm_simulator"
}
Security Scanner
{
    "scan_depth": "comprehensive",
    "vulnerability_db": "latest",
    "report_format": "json",
    "timeout": 3600,
    "threads": 4
}
Monitoring System
{
    "metrics_interval": 60,
    "alert_threshold": 0.85,
    "retention_days": 30,
    "export_format": "prometheus"
}
Data Structures
System Metrics
Metric Type Description
CPU Usage float Percentage of CPU utilization
Memory Usage float Percentage of memory utilization
Network Traffic integer Bytes per second
Security Score float Overall security rating (0-1)
Event Logs
Field Type Description
timestamp datetime Event occurrence time
event_type string Type of security event
severity integer Event severity level (1-5)
source_ip string Source IP address
Implementation Details
System Architecture
Component Technology Version
Frontend Laravel Blade 10.x
Backend PHP 8.2
Database MySQL 8.0
Cache Redis 7.0
Security Measures
Layer Implementation Status
Authentication OAuth 2.0 Active
Encryption AES-256 Active
Firewall Cloudflare Active
Monitoring Prometheus Active