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
May 21, 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
Visualisateur graphique de trafic reseau sous forme de graphe de flux
Basic Network Traffic Analysis using K-Means and PCA algorithms.
OTARIS traffic analyzer
This is the collection of many of the programming projects from my graduate school studies.
Keysight NAS (IXIA) Cloud Demo Examples
Notes for technologies useful in applying ml to the unsw-nb15 dataset (Draft)
A Python-based network traffic analyzer for PCAP files, providing insights into protocol distribution, IP communications, and potential port scanning activities.
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.
Network traffic analysis, traffic characteristics extraction, flow migration and evaluation
The "Network Packet Traffic" project is a network packet analysis tool, helping to analyze and display information about data packets transmitted over the network.
Kali Linux sanal makinesi kullanarak DDoS saldırılarının simülasyonunu gerçekleştirip, oluşturulan veri seti üzerinde makine öğrenme algoritmaları ile saldırı tespiti ve normal trafikten ayırma.
Curriculum developed to assist in CyberSkyline challenges
Generating neural networks for diverse networking classification tasks via hardware-aware neural architecture search, Transactions on Computers 2023
Dryad: Deploying Adaptive Trees on Programmable Switches for Networking Classification (ICNP2023)
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