A centralized repository for technical and cybersecurity white papers published by MottaSec. Each folder contains a distinct white paper along with any relevant supporting materials, tools, or references. This repository serves as a knowledge base reflecting our expertise, research, and thought leadership across key areas of cybersecurity.

Windows 10/11 port of DroneSecurity with USRP B210 support - DJI DroneID receiver (NDSS 2023)

UAV intrusion detection dataset (UAV-NIDD): a real-world cybersecurity dataset for UAV networks, including benign traffic and 10 attack types for IDS and machine learning research

UAVLnQ: An Architecture for Security Analysis of Cyber-Physical Network Behavior in UAV Swarms

A collection of drone security resources

Two DoS proofs-of-concept against Parrot Bebop 2 (UDP ARNetwork flood + Wi‑Fi deauth). For authorized testing only

Real-world UAV-GCS intrusion detection dataset with labeled network traffic for multiple cyber-attacks targeting Ground Control Station to UAV communications.

GPS sinyali taklit saldırılarını (GPS spoofing) tespit etmek amacıyla geliştirilmiş bir sistem sunmaktadır. Makine öğrenimi teknikleri ve sinyal işleme yöntemleri kullanılarak, sahte GPS sinyalleri gerçek sinyallerden ayırt edilmekte ve güvenli navigasyon sağlanmaktadır.

BioOS Cyber Genesis Challenge: An interactive web sandbox proving the 100% security paradigm of the Causal Operating System. Experience "Digital Causal Closure" firsthand: a world where hacking is a mathematical impossibility. Includes a vulnerable app protected by Z3 formal logic and hardware-validated intent (IRQ). Unhackable by design.

Real-time drone surveillance system utilizing YOLOv8 for motion/object detection with a GenAI-powered Natural Language Query (NLQ) interface for auditing SQLite security logs

Net-GPT: A LLM-Empowered Man-in-the-Middle Chatbot for Unmanned Aerial Vehicle — IEEE/ACM SEC 2023 | DOI: 10.1145/3583740.3626809

Academic GRC case — UAV AI risk assessment

Windows port of DroneSecurity with BladeRF A4 support - DJI DroneID receiver (NDSS 2023)

Counter-autonomy red team methodology. SENSE → DECIDE → ACT.