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Brahamanbtp/FortiCryptX
A secure, intelligent, and modular hybrid encryption framework with key management, anomaly detection, blockchain audit logging, and Colab-based UI.
🔐 FortiCryptX-Colab
Secure, Intelligent & Modular File Encryption with Post-Quantum Simulation and Cloud Integration
FortiCryptX is an advanced hybrid cryptographic framework built for Google Colab environments. It integrates AES + RSA encryption, post-quantum simulation, ML-based anomaly detection, blockchain audit logging, and Google Drive support—all wrapped in a modular, user-friendly design.
🚀 Features
- 🔒 Hybrid Encryption – AES for data, RSA for key wrapping
- 🧬 Post-Quantum Simulation – Simulated Kyber/Dilithium-based key exchange
- 🔁 Key Management – Generation, rotation, ML-based expiry prediction
- 🛡️ Tamper Detection – SHA-256 hashing and integrity verification
- 🧨 Secure File Shredding – Multi-pass data overwrite before deletion
- 📁 Google Drive Sync – File I/O with persistent cloud storage
- 📊 Entropy & Anomaly Detection – ML for detecting suspicious patterns
- 📜 Auditing – JSON logs, PDF/Markdown reports, optional blockchain anchoring
- 👥 Simulated Multi-User – Admin/Viewer roles, challenge-response login
- 🌐 Colab-Friendly – Interactive UI via
ipywidgetsorGradio
🧠 System Architecture
- Encryption Stack: AES-GCM (Symmetric) + RSA-2048 (Asymmetric)
- PQ Simulation: Hybrid with simulated Kyber + RSA fallback
- Logging: JSON action logs, blockchain-compatible hashes
- Audit Tools: Auto-generated reports, visualization features
📁 Project Structure
| Directory | Description |
|---|---|
crypto_engine/ |
Core encryption modules: AES, RSA, ECIES, PBE, entropy tools |
key_management/ |
Key generation, ML-based rotation, auditing |
security_tools/ |
Integrity check, tamper detection, secure deletion |
cloud_integration/ |
Google Drive picker & persistent file sync |
ui/ |
Gradio / ipywidgets interface components |
audit_logger/ |
Logging, reporting, optional blockchain anchoring |
pq_simulation/ |
Kyber/Dilithium key exchange simulation layer |
benchmarking/ |
Performance metrics, threat models |
main.ipynb |
Entry point notebook for Google Colab |
requirements.txt |
Python dependency list |
📈 Performance Metrics
| Feature | Performance |
|---|---|
| AES-RSA Encryption | 20–40 ms |
| Entropy Check | < 10 ms |
| Key Rotation | Timed / On-demand |
| PQ Simulation Overhead | ~100 ms |
| File Upload/Drive Sync | Instant (via UI) |
| Log Export (PDF/CSV) | < 500 ms |
🔐 Security Highlights
- Hybrid encryption (AES-GCM + RSA-2048)
- Simulated post-quantum cryptography
- Secure hashing (SHA-256) and tamper detection
- Ephemeral key sessions and challenge-based access
- Blockchain-compatible logs
- Multi-pass secure file shredding
🧩 Applications
- 🏥 Healthcare – Encrypt EMRs with audit capability
- 🏛️ Government – Tamper-proof secure storage
- ☁️ Cloud & Education – Lightweight Colab-based encryption
- 🛠️ Research – PQ crypto benchmarking, anomaly modeling
- 📈 Finance – Secure, loggable transaction payloads
💡 Future Work
- 🧠 AI-powered smart key rotation
- 🔐 Full PQC implementation (Kyber/Dilithium libraries)
- ⛓️ Blockchain audit trail with Ethereum/Polygon
- 🕸️ Federated key exchange & group encryption
- 👥 RBAC (Role-Based Access Control)
- 🔒 TPM/HSM support in-browser and in Colab
🛠 Requirements
- Python 3.7+
- Google Colab or Jupyter Notebook
- Dependencies:
cryptography,pycryptodome,ipywidgets,matplotlib,reportlab,gradio
pip install -r requirements.txt📄 License
This project is governed by a restricted academic license.
See LICENSE.md for complete terms and usage restrictions.
Made with 🔐 by Pranay Sharma
📧 pranay.sharma2022@vitstudent.ac.in