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
Jun 18, 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
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
A comprehensive networking framework designed primarily for high-performance packet analysis and processing. 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 networking capabilities of the framework
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.
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.
Basic Network Traffic Analysis using K-Means and PCA algorithms.
This is the collection of many of the programming projects from my graduate school studies.
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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