Name : Thet Min Htin
Description: Honours Project
In this project, three differents types of network traffic datasets will be analyzed with both machine learning and deep learning. The three different type of network traffic datasets are:
- NSL-KDD dataset
- CIC-IDS2017 dataset
- Android Malware dataset.
Pandas version: 1.3.3
Numpy version: 1.19.5
Scikit-Learn version: 1.0
Keras version: 2.6.0
Matplotlib version: 3.4.3
Seaborn version: 0.11.2
- NSL-KDD dataset
- Original: CIC-IDS2017 dataset
Used : Randomly sampled subset of CICIDS2017 - Android Malware dataset
- Gaussian Naive Bayes
- Multi-Layer Perceptron Neural Network
- Oladimeji, D.S, Network-Intrusion-Detection-Using-Machine-Learning-Techniques, (2017), GitHub repository, https://github.com/dimtics/Network-Intrusion-Detection-Using-Machine-Learning-Techniques
- Deepthi, H.L, Intrusion-Detection-using-Machine-Learning-on-NSL--KDD-dataset, (2020), GitHub repository, https://github.com/Deepthi10/Intrusion-Detection-using-Machine-Learning-on-NSL--KDD-dataset