I will develop an ai based intrusion detection system nids

I will develop a high-performance AI-based Intrusion Detection System (IDS/NIDS) using Machine Learning and Parallel Computing techniques.

This system is designed to detect malicious network activities such as DDoS, Port Scanning, and Brute Force attacks using a hybrid approach of rule-based detection and machine learning models.

Key Features of the System:

AI-based Network Intrusion Detection (NIDS)

Hybrid Rule-Based + Machine Learning approach

Decision Tree-based attack classification

Real-time network traffic analysis (dataset simulation)

OpenMP-based parallel processing for high performance

Multi-threaded CPU optimization (no GPU required)

CICIDS2017 dataset-based evaluation

High-speed packet processing and anomaly detection

Performance comparison: Sequential vs Parallel execution

Technologies Used:

Python, C++, OpenMP, Scikit-learn, Machine Learning, Data Processing

System Highlights:

Detects attacks like DDoS, Port Scan, and Brute Force

Lightweight and scalable CPU-based architecture

Optimized for large-scale network traffic processing

Research-grade implementation suitable for academic and industry use

I can also customize according to your requirements.