Counter-UAS defense simulation with radar, threat assessment, Kalman tracking, and electronic warfare modules
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Updated
Mar 26, 2026 - Python
Counter-UAS defense simulation with radar, threat assessment, Kalman tracking, and electronic warfare modules
Resources for Chief Security Officers and aspiring security leaders (cyber and physical security)
Multi-modal UAV threat assessment combining YOLOv8 aerial detection, EKF-based GPS spoofing detection, and Dempster-Shafer evidence fusion into a single operator-facing intelligence platform.
vuln-structure is a package that extracts vulnerability details from raw text and outputs standardized, structured data for security teams.
An open source, shared vocabulary for the physical-threat domain . 154 tactics, 27 actor profiles, 4 target domains, with Cyber-Physical Nexus tagging where digital and physical threat intelligence converge. MIT licensed.
A structured cyber risk management plan modeled on NIST guidance. Includes threat identification, impact assessment, control mapping, and mitigation strategies.
Operation: Excision – Exposing the Doxbin Criminal Platform. Intelligence dossier on Doxbin's infrastructure, vulnerabilities, links to violent extremism (Atomwaffen Division, Insanity Security Team), and national security threat. Includes origin servers, API endpoints, XSS/SQLi vulnerabilities, and law enforcement resources.
ETCS-303 Software Engineering Project
Defensive, evidence-first security risk assessment engine with synthetic fixtures and bounded decision-support outputs.
🔍 Extract and structure security vulnerability data from unstructured text with ease using the lightweight Python package, vuln-structure.
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