WI2002_Project_Lidia

Network Traffic Analysis for Attack Detection

Project Data Literacy and AI using CIC-IDS2017 Dataset.

This is a major project for the WI2002 Data Literacy and AI course at ITB. It uses the CIC-IDS2017 dataset to analyze web server traffic and detect anomalous behavior using flow-level network features. The project includes data cleaning, exploratory data analysis, and visualization of network traffic patterns.

Project Structure

• data/: Dataset CSV files
• script/: Python scripts for automation
• output/: Generated statistics and visual plots
• doc/: Written reports and documentation
• requirements.txt: Python dependencies

Getting Started

pip install -r requirements.txt

Acknowledgements

1. 13524057 Benedict Darrel Setiawan
2. 13524063 Marcel Luther Sitorus
3. 13524099 Muhammad Akmal
4. 13524143 Daniel Putra Rywandi S

License

This project is licensed under the MIT License. See the LICENSE file for details.