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Journal ArticleDOI

Blind Detection: Advanced Techniques for WiFi-Based Drone Surveillance

TLDR
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.
Abstract
The great availability of commercial drones has raised growing interest among people, since remotely piloted vehicles can be employed in numerous applications. The pervasive use of these devices has created many privacy and safety concerns that need to be addressed by means of proper surveillance systems able to cope with such threats. In this paper, we propose a WiFi statistical fingerprint-based drone detection approach, which is capable of identifying nearby drone threats, even in the presence of malicious attacks. We present a performance analysis carried out through experimental tests, where our solution is able to achieve very good results in terms of correct recognitions in many real-life scenarios, with a peak true positive rate of ${\text{96}}$ %.

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Citations
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Journal ArticleDOI

Future Intelligent and Secure Vehicular Network Toward 6G: Machine-Learning Approaches

TL;DR: A survey on various ML techniques applied to communication, networking, and security parts in vehicular networks and envision the ways of enabling AI toward a future 6G vehicular network, including the evolution of intelligent radio (IR), network intelligentization, and self-learning with proactive exploration.
Journal ArticleDOI

LightAMC: Lightweight Automatic Modulation Classification via Deep Learning and Compressive Sensing

TL;DR: Experimental results show that the proposed LightAMC method can effectively reduce model sizes and accelerate computation with the slight performance loss, and enforce scaling factors sparsity via compressive sensing.
Journal ArticleDOI

RF-based drone detection and identification using deep learning approaches: An initiative towards a large open source drone database

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.
Journal ArticleDOI

Detection and Classification of Multirotor Drones in Radar Sensor Networks: A Review.

TL;DR: An overview of the most relevant technologies is provided, which in modern surveillance systems are composed into a network of spatially-distributed sensors to ensure full coverage of the monitored area, and the main focus is on the frequency modulated continuous wave radar sensor.
Journal ArticleDOI

Multiobjective UAV Path Planning for Emergency Information Collection and Transmission

TL;DR: The results show that the proposed path planning algorithm can significantly improve the normalized Quality-of-Experience (QoE) index and effectively shorten the flight time of each UAV for different assignments.
References
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Journal ArticleDOI

The WEKA data mining software: an update

TL;DR: This paper provides an introduction to the WEKA workbench, reviews the history of the project, and, in light of the recent 3.6 stable release, briefly discusses what has been added since the last stable version (Weka 3.4) released in 2003.
Proceedings ArticleDOI

Fog computing and its role in the internet of things

TL;DR: This paper argues that the above characteristics make the Fog the appropriate platform for a number of critical Internet of Things services and applications, namely, Connected Vehicle, Smart Grid, Smart Cities, and, in general, Wireless Sensors and Actuators Networks (WSANs).
Book ChapterDOI

Fog Computing and Its Role in the Internet of Things

TL;DR: This chapter argues that the above characteristics make the Fog the appropriate platform for a number of critical internet of things services and applications, namely connected vehicle, smart grid, smart cities, and in general, wireless sensors and actuators networks (WSANs).
Journal ArticleDOI

Device-to-device communication in 5G cellular networks: challenges, solutions, and future directions

TL;DR: An overview of major challenges in two-tier networks is provided and some pricing schemes for different types of device relaying are proposed.
Journal ArticleDOI

Low-Altitude Unmanned Aerial Vehicles-Based Internet of Things Services: Comprehensive Survey and Future Perspectives

TL;DR: A comprehensive survey on the UAVs and the related issues will be introduced, the envisioned UAV-based architecture for the delivery of Uav-based value-added IoT services from the sky will be introduction, and the relevant key challenges and requirements will be presented.
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