AI powered Ransomware and malware detection & network security Analysis prevention of Man-in-the-middle attack powered by AI threat explainer

🦅 ZeroScout: The Autonomous Local & Cloud Threat Hunter. Visualize attacks in a live War Room, identify APT groups via Genetic Analysis, and auto-generate defense rules (YARA/SIGMA). DFIR & Malware Analysis Framework.

A high-fidelity, educational cybersecurity sandbox for simulating ransomware attacks and deploying multi-layered Défense mechanisms in a safe, controlled environment.

AI-powered ransomware threat intelligence platform. Monitor 300+ leak sites, track 24,000+ victims, and analyze threat actors with real-time dark web scraping and ML-based enrichment.

GHR Hacks 2.0

Ransomware detection dataset with function call graphs (FCG) for real-time malware family classification using deep learning and machine learning.

A Python-based ransomware detection and prevention tool that monitors file system activity for suspicious behavior patterns.

Kavach-R: Real time ransomware detection with continuous monitoring, anomalous file activity detection using ML (risk score) & blocks them.

Mini Zero Trust ransomware resilience prototype featuring real-time monitoring, behavioral detection, automated containment, backup recovery, and threat reporting.

A local-first ransomware detection and response platform that combines heuristic file telemetry, entropy analysis, threat scoring, and incident monitoring in a security operations console

For educational and cybersecurity purposes.

AFRINTEL est une initiative de veille collaborative dédiée aux cybermenaces ciblant le continent africain. Le projet collecte, analyse et documente les incidents ransomware affectant les organisations africaines, en s'appuyant sur l'observation directe des sites de fuite sur le dark web.

Rilevamento ransomware su sistemi Windows con notifica su Telegram/Gotify/Popup

AI-Based Real-Time Ransomware Detection using Shannon Entropy + ML | 100% accuracy | Flask Dashboard

Blockchain-Based Cyber Threat Intelligence & Ransomware Cascade Analysis Platform

Automated ransomware detection and incident response using Wazuh SIEM, Python event correlation and automated endpoint isolation.

Threat hunting and detection engineering project focused on Akira ransomware tradecraft, ATT&CK mapping, telemetry analysis, and behavioral Sigma rule development.

A data science project for detecting Bitcoin ransomware using machine learning techniques — built as part of Entri Data Science course.

A trapfile-based ransomware detection solution for Linux