ReviewInternet of things (Amsterdam, Netherlands)2020
Security analysis of drones systems: Attacks, limitations, and recommendations.
Review in Internet of things (Amsterdam, Netherlands), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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Who cites it
29 citing papers in PubMed.
- GPU-Accelerated WPA/WPA2 Credential Recovery as an Enabler for Non-Destructive Drone Neutralization.Sensors (Basel, Switzerland) · 2026Article
- Modular Performance Analysis of a Cascaded TDM-MIMO FMCW Radar for Short-Range Counter-UAV Sensing.Sensors (Basel, Switzerland) · 2026Article
- An in depth investigation on device-to-device communication in heterogeneous networks: opportunities and challenges.MethodsX · 2026Review
- An evaluation of machine learning for soil analysis in internet of things-enabled smart farming.Scientific reports · 2026Article
- Security of ADS-B and Remote ID Systems: Cyberattacks, Detection Techniques, and Countermeasures.Sensors (Basel, Switzerland) · 2026Review
- Quantum-Resilient Federated Learning for Multi-Layer Cyber Anomaly Detection in UAV Systems.Sensors (Basel, Switzerland) · 2026Article
- Secure and Intelligent Low-Altitude Infrastructures: Synergistic Integration of IoT Networks, AI Decision-Making and Blockchain Trust Mechanisms.Sensors (Basel, Switzerland) · 2025Review
- Structure analysis in an octocopter using piezoelectric sensors and machine learning.Scientific reports · 2025Article
- Investigating barriers to drones implementation in sustainable construction using PLS-SEM.Scientific reports · 2025Article
- Multi-Strategy Improved Red-Tailed Hawk Algorithm for Real-Environment Unmanned Aerial Vehicle Path Planning.Biomimetics (Basel, Switzerland) · 2025Article
- Method for UAV propeller characterization using frequency analysis of Lidar signals.Applied physics. B, Lasers and optics · 2025Article
- DRBD-YOLOv8: A Lightweight and Efficient Anti-UAV Detection Model.Sensors (Basel, Switzerland) · 2024Article
- Applications, challenges, and solutions of unmanned aerial vehicles in smart city using blockchain.PeerJ. Computer science · 2024Article
- DeepVision: Enhanced Drone Detection and Recognition in Visible Imagery through Deep Learning Networks.Sensors (Basel, Switzerland) · 2023Article
- An Intelligent Framework for Cyber-Physical Satellite System and IoT-Aided Aerial Vehicle Security Threat Detection.Sensors (Basel, Switzerland) · 2023Article
- Security-Informed Safety Analysis of Autonomous Transport Systems Considering AI-Powered Cyberattacks and Protection.Entropy (Basel, Switzerland) · 2023Article
- Article
- A Systematic Literature Review of Blockchain Technology for Internet of Drones Security.Arabian journal for science and engineering · 2023Review
- Review of Botnet Attack Detection in SDN-Enabled IoT Using Machine Learning.Sensors (Basel, Switzerland) · 2022Review
- An Efficient Authenticated Key Agreement Scheme Supporting Privacy-Preservation for Internet of Drones Communications.Sensors (Basel, Switzerland) · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Recently, the world witnessed a significant increase in the number of used drones, with a global and continuous rise in the demand for their multi-purpose applications. The pervasive aspect of these drones is due to their ability to answer people's needs. Drones are providing users with a bird's eye that can be activated and used almost anywhere and at any time. However, recently, the malicious use of drones began to emerge among criminals and cyber-criminals alike. The probability and frequency of these attacks are both high and their impact can be very dangerous with devastating effects. Therefore, the need for detective, protective and preventive counter-measures is highly required. The aim of this survey is to investigate the emerging threats of using drones in cyber-attacks, along the countermeasures to thwart these attacks. The different uses of drones for malicious purposes are also reviewed, along the possible detection methods. As such, this paper analyzes the exploitation of drones vulnerabilities within communication links, as well as smart devices and hardware, including smart-phones and tablets. Moreover, this paper presents a detailed review on the drone/Unmanned Aerial Vehicle (UAV) usage in multiple domains (i.e civilian, military, terrorism, etc.) and for different purposes. A realistic attack scenario is also presented, which details how the authors performed a simulated attack on a given drone following the hacking cycle. This review would greatly help ethical hackers to understand the existing vulnerabilities of UAVs in both military and civilian domains. Moreover, it allows them to adopt and come up with new techniques and technologies for enhanced UAV attack detection and protection. As a result, various civilian and military anti-drones/UAVs (detective and preventive) countermeasures will be reviewed.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.