Waveform Randomization for Secure ISAC

This paper studies waveform-level security for Integrated Sensing and Communication ISAC. Instead of relying on spatial beamforming or power allocation, we randomize the sensing waveform itself using phase keys and tangent Artificial Noise AN applied to a Fourier-curve constellation. Coordinated...

Defense-In-Depth at the Perception-Reasoning Interface of LLM-Centric Agentic UAV Swarms

Large Language Models LLMs increasingly support Uncrewed Aerial Vehicle UAV swarm operations such as data collection scheduling, where the model reads structured sensor reports and decides which sensors to visit. An adversary who quietly manipulates those reports can redirect the swarm without...

Controller-Only False Confirmation in Passive RF UAV Link Detection

Passive radio frequency RF sensing is widely used for counter-unmanned-aerial-vehicle counter-UAV detection. Existing studies commonly report high accuracy against background RF or WiFi/Bluetooth interference, but rarely isolate controller-only operation without a linked aircraft. We present a...

CVE-2026-71644

An issue in Robotics-STAR-Lab SYSU STAR Group RACER Tested affected version: commit abcdef1234567890 allows an attacker to cause unsafe trajectory planning and potential UAV collisions via a missing default case in the FSM that stops publishing swarm trajectories when the drone enters IDLE...

CVE-2026-71644

An issue in Robotics-STAR-Lab SYSU STAR Group RACER Tested affected version: commit abcdef1234567890 allows an attacker to cause unsafe trajectory planning and potential UAV collisions via a missing default case in the FSM that stops publishing swarm trajectories when the drone enters IDLE...

PT-2026-89877

Name of the Vulnerable Software and Affected Versions Robotics-STAR-Lab SYSU STAR Group RACER Tested version commit abcdef1234567890 Description A missing default case in the Finite State Machine FSM prevents the publishing of swarm trajectories when a drone enters the IDLE state. This flaw can...

CVE-2026-71644

A vulnerability exists in Robotics-STAR-Lab (SYSU STAR Group) RACER (affected version: commit abcdef1234567890 ) due to a missing default case in the FSM . This flaw prevents the system from stopping the publication of swarm trajectories when a drone enters the IDLE state, which can lead to unsaf...

EUVD-2026-76112

An issue in Robotics-STAR-Lab SYSU STAR Group RACER Tested affected version: commit abcdef1234567890 allows an attacker to cause unsafe trajectory planning and potential UAV collisions via a missing default case in the FSM that stops publishing swarm trajectories when the drone enters IDLE...

CVE-2026-71644

An issue in Robotics-STAR-Lab SYSU STAR Group RACER Tested affected version: commit abcdef1234567890 allows an attacker to cause unsafe trajectory planning and potential UAV collisions via a missing default case in the FSM that stops publishing swarm trajectories when the drone enters IDLE...

CVE-2026-71644: Access of Resource Using Incompatible Type

An issue in Robotics-STAR-Lab SYSU STAR Group RACER Tested affected version: commit abcdef1234567890 allows an attacker to cause unsafe trajectory planning and potential UAV collisions via a missing default case in the FSM that stops publishing swarm trajectories when the drone enters IDLE...

CVE-2025-52943

creationtimestamp| type| source ---|---|--- 2026-09-02 23:00:05+00:00| seen| https://t.me/payloadUAV/168 2026-09-03 00:00:35+00:00| seen| https://t.me/payloadUAV/168...

Securing Cooperative Sensing in UAV Swarms against Conformity-Driven Byzantine Attacks

In integrated sensing and communication ISAC enabled 6G unmanned aerial vehicle UAV swarm networks, the widely adopted imitation-based conformity cooperation mechanism can be exploited by Byzantine attackers to fabricate false consensus, causing the effective error probability of normal UAVs to...

Conversational Versus Dashboard Explainable AI for UAV Intrusion Detection: An Empirical Study of Operator Trust and Reliance

Machine learning-based Intrusion Detection Systems IDS have demonstrated superior performance in securing Unmanned Aerial Vehicle UAV networks. However, the 'black-box' nature of these models, combined with the high dimensionality of multimodal cyber-physical data, poses significant...

Impact of 5G SA Logical Vulnerabilities on UAV Communications: Threat Models and Testbed Evaluation

This paper examines how logical vulnerabilities in 5G Standalone networks affect UAV command and control communication. The study looks at three attacker positions in the architecture: a malicious user equipment UE connected to the same logical network as the UAV, an attacker with access to the 5...

PrivLLMSwarm: Privacy-Preserving LLM-Driven UAV Swarms for Secure IoT Surveillance

Large Language Models LLMs are emerging as powerful enablers for autonomous reasoning and natural-language coordination in unmanned aerial vehicle UAV swarms operating within Internet of Things IoT environments. However, existing LLM-driven UAV systems process sensitive operational data in...

Reverse Engineering and Control-Aware Security Analysis of the ArduPilot UAV Framework

Unmanned Aerial Vehicle UAV technologies are gaining high interest for many domains, which makes UAV security of utmost importance. ArduPilot is among the most widely used open-source autopilot UAV frameworks; yet, many studies demonstrate the vulnerabilities affecting such systems. Vulnerabiliti...

Joint Resource Optimization over Licensed and Unlicensed Spectrum in Spectrum Sharing UAV Networks against Jamming Attacks

Unmanned aerial vehicle UAV communication is of crucial importance in realizing heterogeneous practical wireless application scenarios. However, the densely populated users and diverse services with high data rate demands has triggered an increasing scarcity of UAV spectrum utilization. To tackle...

ARMOR: Robust Reinforcement Learning-Based Control for UAVs under Physical Attacks

Unmanned Aerial Vehicles UAVs depend on onboard sensors for perception, navigation, and control. However, these sensors are susceptible to physical attacks, such as GPS spoofing, that can corrupt state estimates and lead to unsafe behavior. While reinforcement learning RL offers adaptive control...

PX4 Military UAV Autopilot 1.12.3 - Denial of Service (DoS)

Exploit Title: PX4 Military UAV Autopilot 1.12.3 - Denial of Service DoS Author: Mohammed Idrees Banyamer @banyamersecurity GitHub: https://github.com/mbanyamer Date: 2025-06-21 Tested on: Ubuntu 20.04 LTS + PX4 SITL jMAVSim CVE: CVE-2025-5640 Type: Denial of Service DoS via Buffer Overflow...

OSI Stack Redesign for Quantum Networks: Requirements, Technologies, Challenges, and Future Directions

Quantum communication is poised to become a foundational element of next-generation networking, offering transformative capabilities in security, entanglement-based connectivity, and computational offloading. However, the classical OSI model-designed for deterministic and error-tolerant...