
maltrail
Real-time malicious traffic detection system using public blacklists, static malware trails, and heuristic analysis to identify threats across DNS,…

Real-time malicious traffic detection system using public blacklists, static malware trails, and heuristic analysis to identify threats across DNS,…

Zeek is a powerful network analysis framework that is much different from the typical IDS you may know.

Open-source network IDS/IPS/NSM engine for real-time traffic inspection, intrusion detection and prevention, protocol analysis, and rule-based threat…

Open source entropy based invalid traffic detection and pre-bid filtering.

A package for capturing and analyzing network flow data and intraflow data, for network research, forensics, and security monitoring.

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

With Wireshark or TCPdump, you can determine whether there is harmful activity on your network traffic that you have recorded on the network you…

Hybrid machine-learning pipelines for detecting SQL injection in web traffic, combining DistilBERT and BERT-GNN models with adversarial training and…

Web-based Traffic and Cybersecurity Network Traffic Monitoring

An event-driven network monitoring platform that performs live packet capture (Npcap), low-latency traffic analytics, and unsupervised threat…

Monitor your local neighbourhood's bluetooth activity

3D multi-domain tactical intelligence map — live ships, flights, satellites, cables & space weather in the browser. Time scrubbing, scenario replay,…

Implementation of RITA (Real Intelligence Threat Analytics) in Jupyter Notebook with improved scoring algorithm.

The Console Monitor Driver is a KMDF kernel-mode filter driver that captures certain Fast I/O operations (input and output) that is sent to or from…

A Zeek OSPF packet analyzer based on Spicy.

A network packet forensics tool for SSH

FLNET2023 is a dataset designed for intrusion detection in Federated Learning scenarios. It's built using the CORE emulator, simulating a realistic…

Deep Learning models for network traffic classification