Super RNN v1.0.0 — Initial Stable Release

🧠 Super RNN — Advanced AI System for Kali Linux Security Analysis

Version: v1.0.0 (Stable)
Date: 2025-10-14
Author: GUIAR OQBA 🇩🇿
License: MIT License

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🚀 Overview

The first stable release of Super RNN, an advanced artificial intelligence engine built entirely in C for deep security analysis on Kali Linux systems.
This version introduces the core RNN architecture, Adam optimizer, and automated Linux threat prediction modules.

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🧩 Core Components

• Custom Recurrent Neural Network (RNN) implemented from scratch in C
• Adam Optimizer with momentum, velocity, and adaptive learning rates
• Xavier Initialization for stable gradients
• Early Stopping and Dropout Regularization
• Text normalization and denormalization for stable learning

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🔐 Security Analysis

• Configuration analysis: /etc/passwd, /etc/group
• Log parsing: /var/log/syslog, /var/log/auth.log
• Command learning from common Linux utilities
• Threat level prediction (LOW / MEDIUM / HIGH)
• Security report generation: /tmp/security_report.txt

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🧰 Build & Execution

Tested platform: Kali Linux
Compiler: GCC

gcc -O3 -Wall -Wextra -o super_rnn super_rnn.c -lm
./super_rnn

📊 Output Example

=== LEGENDARY KALI LINUX AI SYSTEM ===
Epoch 0 | Loss = 0.248321
Epoch 1000 | Loss = 0.000013
Security threat level: 0.32
System appears secure.
Security report saved to /tmp/security_report.txt

🧾 Dependencies

Standard C libraries (math.h, stdio.h, stdlib.h, etc.)

Linux system files (/proc, /etc, /var/log)

👤 Author

GUIAR OQBA
📧 techokba@gmail.com

💻 GitHub: okba14

🌐 ORCID: 0009-0008-1629-0002
🇩🇿 Made with 💻 & ❤️ from Algeria

📜 License

Released under the MIT License
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© 2025 GUIAR OQBA — All rights reserved.

🧠 Super RNN marks the beginning of AI-driven Linux security — built from scratch, for researchers, analysts, and defenders.