UAVLnQ: An Architecture for Security Analysis of Cyber-Physical Network Behavior in UAV Swarms
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Updated
Jun 15, 2026 - C++
UAVLnQ: An Architecture for Security Analysis of Cyber-Physical Network Behavior in UAV Swarms
Real-world UAV-GCS intrusion detection dataset with labeled network traffic for multiple cyber-attacks targeting Ground Control Station to UAV communications.
Adaptive Confidence-Weighted Multi-Stage Hybrid Intrusion Detection Framework for UAV CAN Networks.
AeroMind: Poisoning the Control Plane of LLM-Driven UAV Agents (RAID 2026)
Hibrit autoencoder mimarisi kullanılarak geliştirilmiş, uçuş telemetri verileri için gerçek zamanlı siber anomali tespit merkezi.
Zero Trust Architecture based UAV Security system with JWT authentication, TLS encryption, and AI anomaly detection.
Python-based MAVLink 2 protocol fuzzing and security testing against ArduCopter SITL, with automated monitoring and reproducible test logging. Research context: ICES. Adapts the MAVLink 1 methodology of Domin, Symeonidis & Marin (2016) to MAVLink 2.
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.
Detecting a smoothly faded GNSS velocity spoofing attack by fusing IMU dead-reckoning with GPS telemetry and identifying the onset time and injected bearing.
Reproducibility package: rare-class knowledge retention in federated intrusion detection - session-level UAV diagnostic (ISOT Drone Dataset), mechanistic localization tests, CICIoT2023 validation
Isolating compromised sensors in a UAV swarm consensus network using timing residuals and subset voting — a Byzantine fault tolerance problem from autonomous systems security.
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