https://github.com/ompreetham/dcn-network-traffic-anomaly-detection
Data Communication Networks - Network Traffic Anomaly Detection
https://github.com/ompreetham/dcn-network-traffic-anomaly-detection
anomaly anomaly-detection communication data dcn keras learning machine machine-learning network pandas presentation project python scikit-learn tensorflow traffic
Last synced: 4 months ago
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Data Communication Networks - Network Traffic Anomaly Detection
- Host: GitHub
- URL: https://github.com/ompreetham/dcn-network-traffic-anomaly-detection
- Owner: OmPreetham
- License: mit
- Created: 2024-04-27T04:35:04.000Z (about 1 year ago)
- Default Branch: main
- Last Pushed: 2024-05-15T07:21:58.000Z (about 1 year ago)
- Last Synced: 2024-05-15T22:43:37.376Z (about 1 year ago)
- Topics: anomaly, anomaly-detection, communication, data, dcn, keras, learning, machine, machine-learning, network, pandas, presentation, project, python, scikit-learn, tensorflow, traffic
- Language: Jupyter Notebook
- Homepage:
- Size: 3.62 MB
- Stars: 1
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# Anomaly Detection in Network Traffic
This repository contains resources and documentation for our project on anomaly detection in network traffic, conducted as part of the Data Communication Networks course at Texas A&M University - Corpus Christi.
## Abstract
We tackle the challenge of detecting anomalies in network traffic to enhance information security. By analyzing a dataset with diverse network interaction attributes, we deploy multiple machine learning models, including Logistic Regression, Random Forest, SVM, and others. Our approach emphasizes handling data imbalances and transforming categorical data into numerical formats. We critically assess model performance through accuracy, precision, recall, and F1-score metrics.
## Team Members
- [Om Preetham Bandi](https://github.com/OmPreetham)
- [Akhil Polsani](https://github.com/akhilpolsani123)
- [Thriveen Ullendula](https://github.com/thriveengithub)
- [Reddy Bhuvan Korlakunta](https://github.com/bhuvangithub)
## Repository Contents
- [**Code**](./code): Contains all scripts and notebooks for data preprocessing, model building, and evaluation.
- [**Presentation Slides**](./dcn-project-presentation-tamucc.pptx): Slides used during the project presentation, detailing methodology, results, and insights.
- [**Project Paper**](./dcn_project_paper.pdf): Comprehensive paper that discusses the project's approach, findings, and implications for network security.