https://github.com/sahaavi/network-intrusion-detection

An Anomaly-based intrusion detection system using Deep Learning
https://github.com/sahaavi/network-intrusion-detection

anamoly-detection data-science deep-learning machine-learning multilayer-perceptron-network network-intrusion-detection neural-network

Last synced: 2 months ago
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An Anomaly-based intrusion detection system using Deep Learning

• Host: GitHub
• URL: https://github.com/sahaavi/network-intrusion-detection
• Owner: sahaavi
• License: mit
• Created: 2023-04-05T05:42:52.000Z (over 2 years ago)
• Default Branch: main
• Last Pushed: 2023-04-30T18:18:02.000Z (over 2 years ago)
• Last Synced: 2025-05-16T04:11:13.702Z (5 months ago)
• Topics: anamoly-detection, data-science, deep-learning, machine-learning, multilayer-perceptron-network, network-intrusion-detection, neural-network
• Language: Jupyter Notebook
• Homepage:
• Size: 7.43 MB
• Stars: 1
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

          
# Network Intrusion Detection

[![Dataset](https://img.shields.io/badge/dataset-NSL-brightgreen)](https://www.unb.ca/cic/datasets/nsl.html)

## Acknowledgments

M. Tavallaee, E. Bagheri, W. Lu, and A. Ghorbani, “[A Detailed Analysis of the KDD CUP 99 Data Set](https://ieeexplore.ieee.org/document/5356528),” Submitted to Second IEEE Symposium on Computational Intelligence for Security and Defense Applications (CISDA), 2009.