🔐 CryptoDetect - AI-Powered Cryptographic Algorithm Identification
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🎯 Detect • Classify • Secure
AI-driven system to identify cryptographic algorithms from encrypted data
🚀 Quick Access
Available core features:
- 🔍 Detection of common cryptographic algorithms (AES, RSA, DES, etc.)
- 📊 ML-based classification using Random Forest, SVM, and Neural Networks
- 🧠 Feature extraction from ciphertext patterns (no key required)
- 📈 Accuracy > 90% in algorithm identification
- 🛡️ Security insights for identifying weak/outdated encryption
Planned enhancements:
- 📂 Expanded algorithm coverage (Elliptic Curve, Blowfish, etc.)
- 🌐 Deployment-ready API for integration with security systems
- 🔊 Real-time monitoring and intrusion detection use cases
🌐 Live Demo
🎯 What is CryptoDetect?
CryptoDetect is a machine learning project designed to improve data security by automatically identifying the cryptographic algorithm used in encrypted data.
By analyzing ciphertext patterns, it classifies encryption methods without requiring keys, making it useful in cybersecurity audits, compliance checks, and intrusion detection systems.
graph TD
A[🔐 Encrypted Data] --> B[🧠 Feature Extraction]
B --> C{ML Models}
C -->|🌲| D[Random Forest]
C -->|🔺| E[SVM]
C -->|🕸️| F[Neural Network]
D --> G[📊 Algorithm Detected]
E --> G
F --> G
G --> H[🛡️ Security Insights]
H --> I[🔍 Compliance Checks]
H --> J[🚨 Intrusion Detection]
H --> K[📚 Research & Analysis]