Advanced Real-Time Intrusion Detection with ML & DL TechniquesAdvanced Real-Time Intrusion Detection with ML & DL Techniques
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A real-time intrusion detection system that uses machine learning and deep learning to detect network attacks from live traffic.
Why Needed
1.Detect modern and unknown cyber attacks
2.Provide real-time network monitoring
3.Improve accuracy over traditional systems
Tech Stack
Frontend: Streamlit
Backend: FastAPI
ML Models: Random Forest, SVM, K-Means, XGBoost
DL Model: ANN
Packet Capture: Scapy
Tools: Pandas, NumPy, SQLite, Docker
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The network for creativity
Join 1.25M professional creatives like you
Connect with clients, get discovered, and run your business 100% commission-free
Creatives on Contra have earned over $150M and we are just getting started