# Network-Intrusion-Detection

**Repository Path**: robbss/Network-Intrusion-Detection

## Basic Information

- **Project Name**: Network-Intrusion-Detection
- **Description**: Network Intrusion Detection KDDCup '99', NSL-KDD and UNSW-NB15
- **Primary Language**: Unknown
- **License**: Not specified
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 4
- **Forks**: 1
- **Created**: 2020-03-13
- **Last Updated**: 2024-10-10

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# Network-Intrusion-Detection
Network Intrusion Detection KDDCup '99', NSL-KDD and UNSW-NB15

<a href="https://zenodo.org/badge/latestdoi/149269590"><img src="https://zenodo.org/badge/149269590.svg" alt="DOI"></a>

KDDCup '99': http://kdd.ics.uci.edu/databases/kddcup99/kddcup99.html

NSL-KDD: http://www.unb.ca/cic/datasets/nsl.html

UNSW-NB15: https://www.unsw.adfa.edu.au/australian-centre-for-cyber-security/cybersecurity/ADFA-NB15-Datasets/

Please cite the following papers, if you use the code as part of your research

1. R. Vinayakumar, K. P. Soman, Prabaharan Poornachandran:
Applying convolutional neural network for network intrusion detection. ICACCI 2017: 1222-1228
https://ieeexplore.ieee.org/abstract/document/8126009

2. R. Vinayakumar, K. P. Soman, Prabaharan Poornachandran:
Evaluating effectiveness of shallow and deep networks to intrusion detection system. ICACCI 2017: 1282-1289
https://ieeexplore.ieee.org/document/8126018

3. R. Vinayakumar, K. P. Soman, Prabaharan Poornachandran: Evaluation of Recurrent Neural Network and its variants for Intrusion Detection System (IDS)" has accepted in Special Issue On Big Data Searching, Mining, Optimization & Securing (BSMOS) Peer to Peer Cloud Based Networks in IJISMD
https://www.igi-global.com/article/evaluation-of-recurrent-neural-network-and-its-variants-for-intrusion-detection-system-ids/204371

4. Vinayakumar, R., Alazab, M., Soman, K. P., Poornachandran, P., Al-Nemrat, A., & Venkatraman, S. (2019). Deep Learning Approach for Intelligent Intrusion Detection System. IEEE Access, 7, 41525-41550.
https://ieeexplore.ieee.org/abstract/document/8681044

5. Vinayakumar, R., Soman, K. P., & Poornachandran, P. (2019). A Comparative Analysis of Deep Learning Approaches for Network Intrusion Detection Systems (N-IDSs): Deep Learning for N-IDSs. International Journal of Digital Crime and Forensics (IJDCF), 11(3), 65-89.
https://www.igi-global.com/article/a-comparative-analysis-of-deep-learning-approaches-for-network-intrusion-detection-systems-n-idss/227640