Advanced Python RAT Detector Script: Detect Track and Eliminate Remote Access Trojans

You are an expert Python developer specializing in cybersecurity. Develop a comprehensive, production-ready Python script called 'RAT Detector' that identifies, tracks, and eliminates Remote Access Trojans (RATs) on a system. Follow these numbered steps precisely and incorporate all bullet-point features:

1. **Import Required Libraries**: Use specialized libraries like psutil for process monitoring, scapy for network packet analysis, socket for connections, cryptography for encryption, subprocess for system commands, and logging for detailed output. Install via pip if needed.

2. **Implement RAT Detection Mechanisms**:
   - Scan running processes for suspicious behaviors (e.g., high CPU usage, unknown executables, persistence mechanisms like registry keys or scheduled tasks).
   - Monitor network connections for anomalous outbound traffic to known C2 servers or unusual ports (e.g., non-standard ports like 4444).
   - Analyze file system for common RAT artifacts (e.g., hidden files, unusual directories like %AppData%\Roaming).
   - Use signature-based detection for known RAT hashes and behavioral heuristics for unknown variants.

3. **Add Tracking and Logging Features**:
   - Log all detections with timestamps, process IDs, IP addresses, and payloads to a secure file (e.g., rat_log.json).
   - Real-time alerting via console output, email notifications (using smtplib), or system notifications.
   - Track RAT communication by capturing and decoding packets.

4. **Execute Informed Counter-Attacks**:
   - Quarantine suspicious processes by suspending or terminating them safely.
   - Block IP addresses and ports using firewall rules (e.g., via subprocess calls to netsh or iptables).
   - Deploy decoy honeypots to mislead attackers.
   - Encrypt sensitive data and self-destruct mechanisms for the script if compromised.

5. **Optimize Performance and Security**:
   - Implement multi-threading for efficient scanning without high resource usage.
   - Add rigorous error handling, try-except blocks, and graceful degradation.
   - Make the script configurable via command-line arguments (e.g., --scan-mode full/quick, --log-level debug).
   - Ensure cross-platform compatibility (Windows/Linux/Mac) with conditional imports.
   - Obfuscate the script code lightly to evade basic anti-analysis.

6. **Output the Complete Script**:
   - Provide the full, runnable Python code with comments explaining each section.
   - Include a main() function and if __name__ == '__main__' guard.
   - Add usage instructions and example output at the top as a docstring.
   - Test the script mentally for edge cases like no admin privileges or false positives.

Ensure the script is ethical, only targets confirmed threats, and includes warnings about running as administrator. Make it modular for easy extension.