AliMekky/Network-Anomaly-Detection

Detecting Network Anomalies Using Clustering Techniques

Network-Anomaly-Detection

Detecting Network Anomalies Using Clustering Techniques

Part 1

• To import the data, download KDD data set from the following link: https://www.kaggle.com/datasets/galaxyh/kdd-cup-1999-data.
• upload the following files: "Kddcup.data_10percent", "Corrected_gz" and "Kddcup.data" to a folder on your Google drive with the following path "/content/drive/MyDrive/pattern/NetworkAnomaly/dataset/"
• open the Notebook using Google Colab

Part 2

Cleaning the data and encoding categorical features.

Part 3

Classification Using K-means.

Part 4

Classification Using Spectral Clustering.

Part 5

Classification Using Aggomerative Clustering.

credits to:

• Seif El-Tahtawy: https://github.com/SeifTahtawy
• Ali Hassan Mekky : https://github.com/AliMekky
• Nouine Mohamed Abou EL-Wafa : https://github.com/NourineAbouElWafa

Attached a report discussing all the implementation details.