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Network Intrusion Detection System Using Machine Learning Proposal by muhammadhassan.4881 is a document available to read on EtoBox.

The Network Intrusion Detection System (SecureNet IDS) is a machine learning-based solution aimed at classifying network traffic as Normal or Attack, addressing the limitations of traditional rule-based systems. The project includes dataset preprocessing, model training, and deployment, with a target accuracy of at least 92%. Key features include a web-based prediction interface and performance evaluation metrics, while real-time monitoring and deep learning integration are excluded from the current scope.

Author

muhammadhassan.4881

Language

EN