This repo contains a project to detect threats in ROS 2 topics using YARA rules.
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Updated
Jul 18, 2023 - Python
This repo contains a project to detect threats in ROS 2 topics using YARA rules.
Anomaly detection using machine learning on the simulated network's data.
The Threat-Intelligence-Lab is a comprehensive platform that empowers organizations to proactively identify, analyze, and combat cyber threats. We provide real-time threat intelligence, advanced threat analysis tools, and expert guidance to help you stay ahead of the curve and protect your valuable data.
Mapping common adversarial TTP's against Detections & Atomics
Buliding an siem with simple tools
Trend Vision One File Security Python SDK
Trend Vision One File Security Node.js SDK
A Python notebook demonstrating an Intrusion Detection System for surveillance videos using OpenCV, focusing on real-time threat detection and alert notifications.
An EDR server designed to monitor, detect, and respond to threats on network endpoints.
Trend Vision One File Security Java SDK
Detection engine at scale using Apache Beam, Apache Flink, Kubernetes
Hosting slides for conference talks I've delivered.
Building one Solution for Threat management and detection for you network with Open source SOC solution.
THAMARA - Threat Hunting with AMSI and YARA
A review paper on the threats posed by keyloggers and touchloggers
Repo for my detection rules in system relative formatting
Jupyter notebook for IoT threat detection using ensemble machine learning. Features data preprocessing, model training (Logistic Regression, Decision Trees, Neural Networks, etc.), and ensemble techniques for enhanced accuracy.
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.
This project is a live network monitoring dashboard that leverages tree-based machine learning algorithms to detect intrusions in real-time. The system uses Flask and Socket.IO for real-time data updates, and Chart.js for data visualization. The dashboard provides various charts to visualize network data and sends notifications for suspicious activ
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