Malcolm is a powerful, easily deployable network traffic analysis tool suite for full packet capture artifacts (PCAP files), Zeek logs and Suricata alerts.

Malcolm is a powerful, easily deployable network traffic analysis tool suite for full packet capture artifacts (PCAP files), Zeek logs and Suricata alerts.

Materials about Encrypted Traffic Analysis

Real Intelligence Threat Analytics (RITA) is a framework for detecting command and control communication through network traffic analysis.

SaaS Zero - Network Traffic Monitor Professional network traffic monitoring and security analysis platform

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

The Attacker IP Prioritizer(AIP) dynamically generates resource-friendly IPv4 blocklists from Zeek network flows.

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

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

Visualisateur graphique de trafic reseau sous forme de graphe de flux

The "Network Packet Analyzer" project is a network packet analysis tool, helping to analyze and display information about data packets transmitted over the network.

Keysight NAS (IXIA) Cloud Demo Examples

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

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

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

NexoOps is an Intelligent Network Management System which summarizes log files, classify alerts and uses a chatbot to show real time network traffic through commands

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

This project presents a smart network traffic analysis system capable of identifying VPN traffic using machine learning. It processes raw traffic data, extracts important features like protocol types and packet lengths, and uses a Random Forest Classifier to detect anonymity-based VPN connections.

OTARIS traffic analyzer