Journal ArticleDOI
Unauthorized Amateur UAV Detection Based on WiFi Statistical Fingerprint Analysis
TLDR
A WiFi-based approach aimed at detecting nearby aerial or terrestrial devices by performing statistical fingerprint analysis on wireless traffic is proposed, able to efficiently detect and identify intruder drones in all the considered experimental setups, making it a promising unmanned aerial vehicle detection approach in the framework of amateur drone surveillance.Abstract:
Amateur drones are enjoying great popularity in recent years due to the wide commercial diffusion of small, rather low-cost devices. More and more user-friendly, easy-to-pilot aerial and terrestrial drones are available off the shelf, and people can even remotely pilot them using their smartphones. This situation brings up the problem of keeping unauthorized drones away from private or sensitive areas, where they can represent a personal or public threat. With this motivation, after a survey of the existing solutions, we propose a WiFi-based approach aimed at detecting nearby aerial or terrestrial devices by performing statistical fingerprint analysis on wireless traffic. This novel detection technique, tested in a variety of real-life scenarios, proved able to efficiently detect and identify intruder drones in all the considered experimental setups, making it a promising unmanned aerial vehicle detection approach in the framework of amateur drone surveillance.read more
Citations
More filters
Journal ArticleDOI
Stochastic Computation Offloading and Trajectory Scheduling for UAV-Assisted Mobile Edge Computing
TL;DR: Simulation results demonstrate that the system performance obtained by the proposed scheme can outperform the benchmark schemes, and the optimal parameter selections are concluded in the experimental discussion.
Journal ArticleDOI
RF-based drone detection and identification using deep learning approaches: An initiative towards a large open source drone database
Mohamed Fathi Al-Sa'D,Mohamed Fathi Al-Sa'D,Abdulla Al-Ali,Amr Mohamed,Tamer Khattab,Aiman Erbad +5 more
TL;DR: Results of the designed methods confirm the feasibility of the developed drone RF database to be used for detection and identification, and the developed RF database along with the implementations are made publicly available for students and researchers alike.
Proceedings ArticleDOI
Micro-UAV Detection and Classification from RF Fingerprints Using Machine Learning Techniques
TL;DR: In this article, the authors focus on the detection and classification of micro-unmanned aerial vehicles (UAVs) using radio frequency (RF)fingerprints of the signals transmitted from the controller to the micro-UAV.
Journal ArticleDOI
Blind Detection: Advanced Techniques for WiFi-Based Drone Surveillance
TL;DR: This paper proposes a WiFi statistical fingerprint-based drone detection approach, which is capable of identifying nearby drone threats, even in the presence of malicious attacks.
Journal ArticleDOI
Detection and Classification of UAVs Using RF Fingerprints in the Presence of Wi-Fi and Bluetooth Interference
TL;DR: This paper investigates the problem of detection and classification of unmanned aerial vehicles (UAVs) in the presence of wireless interference signals using a passive radio frequency (RF) surveillance system and investigates the performance of the NCA and five different ML classifiers for 15 different types of UAV controllers.
References
More filters
Journal ArticleDOI
Device-to-Device Communication in LTE-Advanced Networks: A Survey
TL;DR: A comprehensive survey of available D2D related research works ranging from technical papers to experimental prototypes to standard activities is provided, and some open research problems which deserve further studies are outlined.
Proceedings ArticleDOI
Drones for smart cities: Issues in cybersecurity, privacy, and public safety
TL;DR: The goal of this survey paper is to review various aspects of drones in future smart cities, relating to cybersecurity, privacy, and public safety, and provide representative results on cyber attacks using drones.
Proceedings ArticleDOI
Simulation of intelligent Unmanned Aerial Vehicle (UAV) For military surveillance
M. Anwar Ma'sum,M. Kholid Arrofi,Grafika Jati,Futuhal Arifin,M. Nanda Kurniawan,Petrus Mursanto,Wisnu Jatmiko +6 more
TL;DR: Application developed in this research has a purpose to simulate condition in war zone for spying the enemy and the result shows that average error for all scenario is only 0.24 meters.
Journal ArticleDOI
UAV-assisted data gathering in wireless sensor networks
TL;DR: A new data gathering algorithm is proposed, leveraging both the UAV and mobile agents (MAs) to autonomously collect and process data in wireless sensor networks, which is time- and energy-efficient for any density of the network.
Proceedings ArticleDOI
Micro-drone RCS analysis
TL;DR: In this article, both simulation and experimental results of micro-drone rotor blade electromagnetic scattering are presented, the focus of which is investigating the variation of these reflections as a function of variables such as polarization, frequency and azimuth angle.