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Web-based Traffic and Cybersecurity Network Traffic Monitoring

Web-based Traffic and Cybersecurity Network Traffic Monitoring

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.

Monitor your local neighbourhood's bluetooth activity

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

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

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

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

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

Kernel-level security & attack response for Linux servers.

A real-time traffic monitoring tool that detects and displays network traffic volume per IP address to identify potential DDoS attacks.

Lightweight Python-based IDS that monitors network traffic in real-time using Scapy, detecting DoS/DDoS attacks via per-IP request rate analysis with…

Lightweight network intrusion detection engine capturing live traffic with libpcap. Detects SYN/ICMP floods, port scans, and signature-based web…

Deep Learning models for network traffic classification

A Zeek OSPF packet analyzer based on Spicy.

Simulates CVE-2024-38063 TCP/IP remote code execution attack, captures network traffic with TShark, and trains a machine learning model to detect…

Splunk app for integrating and analyzing Corelight network detection data, enabling real-time threat hunting and incident response.

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