Notes for technologies useful in applying ml to the unsw-nb15 dataset (Draft)

Basic Network Traffic Analysis using K-Means and PCA algorithms.

The project is about fingerprinting operating systems using different multi-class classification algorithms.

Major project for Advanced Topics in Computer Science. Using mitmproxy to automatically detect if private data has been leaked in network traffic data by certain android applications.

OTARIS traffic analyzer

Keysight NAS (IXIA) Cloud Demo Examples

Deployment guide for CloudLens network visibility software on Google Cloud Platform

Visualisateur graphique de trafic reseau sous forme de graphe de flux

A platform built for easy-to-use automated network traffic analysis

A Python-based network traffic analyzer for PCAP files, providing insights into protocol distribution, IP communications, and potential port scanning activities.

This is the collection of many of the programming projects from my graduate school studies.

Network traffic analysis, traffic characteristics extraction, flow migration and evaluation

Dryad: Deploying Adaptive Trees on Programmable Switches for Networking Classification (ICNP2023)

Kali Linux sanal makinesi kullanarak DDoS saldırılarının simülasyonunu gerçekleştirip, oluşturulan veri seti üzerinde makine öğrenme algoritmaları ile saldırı tespiti ve normal trafikten ayırma.

This project is a live network monitoring dashboard that leverages tree-based machine learning algorithms to detect intrusions in real-time. The system uses Flask and Socket.IO for real-time data updates, and Chart.js for data visualization. The dashboard provides various charts to visualize network data and sends notifications for suspicious activ

Generating neural networks for diverse networking classification tasks via hardware-aware neural architecture search, Transactions on Computers 2023