Counter-UAS defense simulation with radar, threat assessment, Kalman tracking, and electronic warfare modules
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.
Resources for Chief Security Officers and aspiring security leaders (cyber and physical security)
Expert survey on GenAI disinformation threats & countermeasures - instrument, data, and publications. Published in HKS Misinformation Review (doi:10.37016/mr-2020-205) and at R2CASS @ WWW 2026. Survey still open for expert participants.
vuln-structure is a package that extracts vulnerability details from raw text and outputs standardized, structured data for security teams.
The open standard for physical threat behavior — tactics and behavioral indicators scored for escalation, organized in four matrices across the threat lifecycle, and connected by a machine-walkable Detection Mesh. Built for AI agents and the analysts who orchestrate them. MIT licensed.
A structured cyber risk management plan modeled on NIST guidance. Includes threat identification, impact assessment, control mapping, and mitigation strategies.
ETCS-303 Software Engineering Project
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.
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.
To associate your repository with the threat-assessment topic, visit your repo's landing page and select "manage topics."