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.

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

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.

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

The model leverages the strengths of both CNNs and BiLSTM networks to effectively capture spatial and temporal patterns in network traffic data. We trained and evaluated the model using a comprehensive dataset of cyber attacks. The model achieved a high accuracy of 99%.

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

Keysight NAS (IXIA) Cloud Demo Examples

OTARIS traffic analyzer

Plug into extended SecOps: Bring Google Cloud's analytics to your local network. tshark captures on-prem, GCP transforms to UDM. Scalable, event-driven, via Terraform.

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

Comparative network traffic analysis using public datasets (MAWI and CAIDA) — Undergraduate thesis project (UFSM 2025/1)

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

A simple, yet powerful Python-based network anomaly detection tool that uses machine learning to analyze network traffic and detect suspicious activity. The tool integrates with the VirusTotal API to check the reputation of anomalous IP addresses.

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.

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

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