Project Specification
- Project Type: Academic
- Project Mode: Independent
- Project Status: Complete
- Project Duration: 3 Months
- Project Involvement
- Integrated feature mapping
- Developed the detection system
- Authored hyperparameter tuning
- Incorporated dataset partitioning
- Implemented multilayer perceptron
- Integrated dataset cross-validation
- Engineered dimensionality reduction
- Software Applications
- Google Colaboratory
- Supported Platforms
- macOS
- Linux
- Windows
- Download: Google Colab
- Documentation: .pdf .docx
Synopsis
A network intrusion detection system developed from a neural network model, that is capable of differentiating between bad connections,
namely intrusions or attacks, and good, ordinary connections.
The network intrusion detection system supports both binary and categorical modes of network connection classification, for the publicly available
KDD Cup 1999 dataset.