ClockWize171 / network-traffic-analysis-tensorflow

Name : Thet Min Htin
Description: Honours Project

Network Traffics Analysis with Machine Learning and Deep Learning

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:

1. NSL-KDD dataset
2. CIC-IDS2017 dataset
3. Android Malware dataset.

Used Python Libraries

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

Used datasets

• NSL-KDD dataset
• Original: CIC-IDS2017 dataset
  Used : Randomly sampled subset of CICIDS2017
• Android Malware dataset

Used algorithms

• Gaussian Naive Bayes
• Multi-Layer Perceptron Neural Network

References

• 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