Malcolm is a powerful, easily deployable network traffic analysis tool suite for full packet capture artifacts (PCAP files), Zeek logs and Suricata alerts.
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Updated
Jul 19, 2024 - Python
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.
A platform built for easy-to-use automated network traffic analysis
Real Intelligence Threat Analytics (RITA) is a framework for detecting command and control communication through network traffic analysis.
A Python-based network traffic analyzer for PCAP files, providing insights into protocol distribution, IP communications, and potential port scanning activities.
Malcolm is a powerful, easily deployable network traffic analysis tool suite for full packet capture artifacts (PCAP files), Zeek logs and Suricata alerts.
Notes for technologies useful in applying ml to the unsw-nb15 dataset (Draft)
OTARIS traffic analyzer
Keysight NAS (IXIA) Cloud Demo Examples
Curriculum developed to assist in CyberSkyline challenges
The "Network Packet Traffic" project is a network packet analysis tool, helping to analyze and display information about data packets transmitted over the network.
Visualisateur graphique de trafic reseau sous forme de graphe de flux
This repository provides comprehensive guides, configurations, rules, and practical examples for Snort, the open-source intrusion detection system (IDS). Ideal for cybersecurity professionals and enthusiasts looking to enhance their network security skills.
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
Dryad: Deploying Adaptive Trees on Programmable Switches for Networking Classification (ICNP2023)
A comprehensive networking framework designed primarily for high-performance processing of raw packets. Implements most modern protocols (specifically TCP/IP) and further networking software. In addition, the project contains a suite of networking tools built entirely on top of the framework
Kali Linux sanal makinesi kullanarak DDoS saldırılarının simülasyonunu gerçekleştirip, oluşturulan veri seti üzerinde makine öğrenme algoritmaları ile saldırı tespiti ve normal trafikten ayırma.
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.
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