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AI-Enhanced Intrusion Detection for UAV Systems: A Taxonomy and Comparative Review

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Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/978-3-030-65299-9_4openalex-snapshot
Unsupervised Intrusion Detection System for Unmanned Aerial Vehicle with Less Labeling Effort
inferredcites →https://doi.org/10.1007/978-3-030-72802-1_9openalex-snapshot
NetFlow Datasets for Machine Learning-Based Network Intrusion Detection Systems
inferredcites →https://doi.org/10.1007/978-3-031-76452-3_12openalex-snapshot
Cybersecurity in UAVs: An Intrusion Detection System Using UAVCAN and Deep Reinforcement Learning
inferredcites →https://doi.org/10.1007/978-981-16-2102-4_73openalex-snapshot
Cross-Datasets Evaluation of Machine Learning Models for Intrusion Detection Systems
inferredcites →https://doi.org/10.1007/s00521-024-10306-yopenalex-snapshot
Machine learning approaches to intrusion detection in unmanned aerial vehicles (UAVs)
inferredcites →https://doi.org/10.1007/s00521-025-11276-5openalex-snapshot
A lightweight and efficient intrusion detection system (IDS) for unmanned aerial vehicles
inferredcites →https://doi.org/10.1007/s10064-020-01766-2openalex-snapshot
The use of unmanned aerial vehicles (UAVs) for engineering geology applications
inferredcites →https://doi.org/10.1007/s10115-024-02181-9openalex-snapshot
Unveiling intrusions: explainable SVM approaches for addressing encrypted Wi-Fi traffic in UAV networks
inferredcites →https://doi.org/10.1007/s10723-022-09614-1openalex-snapshot
A Self-Adaptive Intrusion Detection System for Securing UAV-to-UAV Communications Based on the Human Immune System in UAV Networks
inferredcites →https://doi.org/10.1007/s42452-020-2749-5openalex-snapshot
UAV communication system integrated into network traversal with mobility
inferredcites →https://doi.org/10.1016/j.adhoc.2012.12.004openalex-snapshot
Flying Ad-Hoc Networks (FANETs): A survey
inferredcites →https://doi.org/10.1016/j.adhoc.2018.09.004openalex-snapshot
Network intrusion detection system for UAV ad-hoc communication: From methodology design to real test validation
inferredcites →https://doi.org/10.1016/j.adhoc.2022.102894openalex-snapshot
A survey of cyber security threats and solutions for UAV communications and flying ad-hoc networks
inferredcites →https://doi.org/10.1016/j.adhoc.2024.103642openalex-snapshot
A survey on security of UAV and deep reinforcement learning
inferredcites →https://doi.org/10.1016/j.comnet.2019.106877openalex-snapshot
FANET: Communication, mobility models and security issues
inferredcites →https://doi.org/10.1016/j.comnet.2023.110140openalex-snapshot
Comprehensive systematic review of intelligent approaches in UAV-based intrusion detection, blockchain, and network security
inferredcites →https://doi.org/10.1016/j.compeleceng.2022.107784openalex-snapshot
Artificial intelligence for intrusion detection systems in Unmanned Aerial Vehicles
inferredcites →https://doi.org/10.1016/j.compeleceng.2023.108704openalex-snapshot
Sea turtle foraging algorithm with hybrid deep learning-based intrusion detection for the internet of drones environment
inferredcites →https://doi.org/10.1016/j.cose.2024.103878openalex-snapshot
Exhaustive distributed intrusion detection system for UAVs attacks detection and security enforcement (E-DIDS)
inferredcites →https://doi.org/10.1016/j.cose.2024.104215openalex-snapshot
Investigation on datasets toward intelligent intrusion detection systems for Intra and inter-UAVs communication systems
inferredcites →https://doi.org/10.1016/j.heliyon.2022.e10481openalex-snapshot
A new unmanned aerial vehicle intrusion detection method based on belief rule base with evidential reasoning
inferredcites →https://doi.org/10.1016/j.iot.2020.100218openalex-snapshot
Security analysis of drones systems: Attacks, limitations, and recommendations
inferredcites →https://doi.org/10.1016/j.iot.2025.101592openalex-snapshot
A novel federated learning-based IDS for enhancing UAVs privacy and security
inferredcites →https://doi.org/10.1016/j.knosys.2023.110626openalex-snapshot
DI-NIDS: Domain invariant network intrusion detection system
inferredcites →https://doi.org/10.1016/j.matpr.2021.07.111openalex-snapshot
Classification approaches in unmanned aerial vehicle (UAV) intrusion detection data set by using big data analysis
inferredcites →https://doi.org/10.1016/j.ress.2019.106675openalex-snapshot
Securing of Unmanned Aerial Systems (UAS) against security threats using human immune system
inferredcites →https://doi.org/10.1038/s41598-023-45065-8openalex-snapshot
IoT empowered smart cybersecurity framework for intrusion detection in internet of drones
inferredcites →https://doi.org/10.1109/access.2021.3072030openalex-snapshot
Internet of Drones Security and Privacy Issues: Taxonomy and Open Challenges
inferredcites →https://doi.org/10.1109/access.2024.3471806openalex-snapshot
Novel Approach for Intrusion Detection Attacks on Small Drones Using ConvLSTM Model
inferredcites →https://doi.org/10.1109/access.2024.3495994openalex-snapshot
Cybersecurity Testing in Drones Domain: A Systematic Literature Review
inferredcites →https://doi.org/10.1109/access.2025.3549861openalex-snapshot
Understanding and Securing the Risks of Uncrewed Aerial Vehicle Services
inferredcites →https://doi.org/10.1109/bigdata59044.2023.10386140openalex-snapshot
Adversarial Data-Augmented Resilient Intrusion Detection System for Unmanned Aerial Vehicles
inferredcites →https://doi.org/10.1109/cns59707.2023.10288962openalex-snapshot
Machine Learning-Based Intrusion Detection for Swarm of Unmanned Aerial Vehicles
inferredcites →https://doi.org/10.1109/comst.2015.2495297openalex-snapshot
Survey of Important Issues in UAV Communication Networks
inferredcites →https://doi.org/10.1109/comst.2021.3097916openalex-snapshot
Fast, Reliable, and Secure Drone Communication: A Comprehensive Survey
inferredcites →https://doi.org/10.1109/comst.2024.3515051openalex-snapshot
A Survey of Security in UAVs and FANETs: Issues, Threats, Analysis of Attacks, and Solutions
inferredcites →https://doi.org/10.1109/cyberpels49534.2020.9311545openalex-snapshot
Intrusion Detection Systems-Enabled Power Electronics for Unmanned Aerial Vehicles
inferredcites →https://doi.org/10.1109/dasc52595.2021.9594321openalex-snapshot
Enhancing the Security of Unmanned Aerial Systems using Digital-Twin Technology and Intrusion Detection
inferredcites →https://doi.org/10.1109/dsd60849.2023.00047openalex-snapshot
Characterizing Intrusion Detection Systems On Heterogeneous Embedded Platforms
inferredcites →https://doi.org/10.1109/icc51166.2024.10622703openalex-snapshot
An Intelligent and Interpretable Intrusion Detection System for Unmanned Aerial Vehicles
inferredcites →https://doi.org/10.1109/icecet61485.2024.10698453openalex-snapshot
Deep Learning Based Intrusion Detection for Cybersecurity in Unmanned Aerial Vehicles Network
inferredcites →https://doi.org/10.1109/icoict58202.2023.10262647openalex-snapshot
Intrusion Detection on Unmanned Aerial Vehicle (UAV) using Binary Decision Tree
inferredcites →https://doi.org/10.1109/icosst57195.2022.10016875openalex-snapshot
Simulating ML-Based Intrusion Detection System for Unmanned Aerial Vehicles (UAVs) using COOJA Simulator
inferredcites →https://doi.org/10.1109/ictc55196.2022.9952400openalex-snapshot
Cyber Edge Intelligent Intrusion Detection Framework For UAV Network Based on Random Forest Algorithm
inferredcites →https://doi.org/10.1109/icuas54217.2022.9836208openalex-snapshot
Detection of Stealthy Adversaries for Networked Unmanned Aerial Vehicles
inferredcites →https://doi.org/10.1109/icuas57906.2023.10155873openalex-snapshot
Anomaly-Based Intrusion Detection System for In-Flight and Network Security in UAV Swarm
inferredcites →https://doi.org/10.1109/icus61736.2024.10839792openalex-snapshot
Intrusion Detection of UAVs in Cell-Free Networks with Clock Asynchronism
inferredcites →https://doi.org/10.1109/isqed60706.2024.10528691openalex-snapshot
Side-Channel-Driven Intrusion Detection System for Mission Critical Unmanned Aerial Vehicles
inferredcites →https://doi.org/10.1109/issrew60843.2023.00065openalex-snapshot
Risk-Aware Intrusion Detection and Prevention System for Automated UAS
inferredcites →https://doi.org/10.1109/itsc58415.2024.10920019openalex-snapshot
Machine Learning Models for Intrusion Detection in Unmanned Aerial Vehicles: An Approach to Cybersecurity and Operational Safety
inferredcites →https://doi.org/10.1109/jiot.2020.3029970openalex-snapshot
Malware on Internet of UAVs Detection Combining String Matching and Fourier Transformation
inferredcites →https://doi.org/10.1109/jiot.2024.3426054openalex-snapshot
A Hierarchical Unmanned Aerial Vehicle Network Intrusion Detection and Response Approach Based on Immune Vaccine Distribution
inferredcites →https://doi.org/10.1109/jiot.2024.3426511openalex-snapshot
Real-Time Collaborative Intrusion Detection System in UAV Networks Using Deep Learning
inferredcites →https://doi.org/10.1109/lars/sbr/wre56824.2022.9995987openalex-snapshot
A Systematic Mapping Study in Intrusion Detection System for Unmanned Aerial Vehicles Security
inferredcites →https://doi.org/10.1109/lcn58197.2023.10223340openalex-snapshot
Adaptive Neuro-Fuzzy Inference System-based Lightweight Intrusion Detection System for UAVs
inferredcites →https://doi.org/10.1109/milcom55135.2022.10017532openalex-snapshot
Hierarchical Intrusion Detection System for Secured Military Drone Network: A Perspicacious Approach
inferredcites →https://doi.org/10.1109/milcom61039.2024.10773671openalex-snapshot
Graph Neural Network-Based Intrusion Detection System for a Swarm of UAVs
inferredcites →https://doi.org/10.1109/mnet.011.2100068openalex-snapshot
Deep-Reinforcement-Learning-Based Intrusion Detection in Aerial Computing Networks
inferredcites →https://doi.org/10.1109/ojcoms.2025.3528220openalex-snapshot
Blockchain-Based Security Architecture for Uncrewed Aerial Systems in B5G/6G Services and Beyond: A Comprehensive Approach
inferredcites →https://doi.org/10.1109/pimrc59610.2024.10817244openalex-snapshot
Enhanced Intrusion Detection System for Multiclass Classification in UAV Networks
inferredcites →https://doi.org/10.1109/sds60720.2024.00032openalex-snapshot
Secured UAV Navigation: A Novel Intrusion Detection System Based on PWM Signal Analysis
inferredcites →https://doi.org/10.1109/sm57895.2023.10112557openalex-snapshot
Reinforcement Learning Based Intrusion Detection Systems for Drones: A Brief Survey
inferredcites →https://doi.org/10.1109/smarttechcon57526.2023.10391679openalex-snapshot
A Novel Distributed Anomaly Intrusion Detection Model for Drone Swarm Network in Smart Nations
inferredcites →https://doi.org/10.1109/tits.2023.3339728openalex-snapshot
Cyber-Physical Intrusion Detection System for Unmanned Aerial Vehicles
inferredcites →https://doi.org/10.1109/tiv.2023.3309548openalex-snapshot
UAV-Assisted IoT Applications, Cybersecurity Threats, AI-Enabled Solutions, Open Challenges With Future Research Directions
inferredcites →https://doi.org/10.1109/tnsm.2024.3487265openalex-snapshot
Security and Privacy Issues and Solutions for UAVs in B5G Networks: A Review
inferredcites →https://doi.org/10.1109/ubmk63289.2024.10773419openalex-snapshot
Generative Adversarial Networks for Synthetic Jamming Attacks on UAVs
inferredcites →https://doi.org/10.1109/wccct60665.2024.10541665openalex-snapshot
Deep Learning Based Network intrusion detection for unmanned aerial vehicle (UAV)
inferredcites →https://doi.org/10.1136/bmj.n71openalex-snapshot
The PRISMA 2020 statement: an updated guideline for reporting systematic reviews
inferredcites →https://doi.org/10.1145/3001836openalex-snapshot
Security, Privacy, and Safety Aspects of Civilian Drones
inferredcites →https://doi.org/10.1145/3086439.3086440openalex-snapshot
FANET Application Scenarios and Mobility Models
inferredcites →https://doi.org/10.1145/3414045.3415951openalex-snapshot
Autonomous detection of malicious events using machine learning models in drone networks
inferredcites →https://doi.org/10.1145/3416013.3426446openalex-snapshot
Novelty-based Intrusion Detection of Sensor Attacks on Unmanned Aerial Vehicles
inferredcites →https://doi.org/10.1145/3579999openalex-snapshot
Intrusion Detection Framework for Invasive FPV Drones Using Video Streaming Characteristics
inferredcites →https://doi.org/10.1177/15485129211031668openalex-snapshot
The role of unmanned aerial vehicles in military communications: application scenarios, current trends, and beyond
inferredcites →https://doi.org/10.1186/s42400-023-00178-5openalex-snapshot
Quantized autoencoder (QAE) intrusion detection system for anomaly detection in resource-constrained IoT devices using RT-IoT2022 dataset
inferredcites →https://doi.org/10.1371/journal.pone.0282567openalex-snapshot
A hybrid security system for drones based on ICMetric technology
inferredcites →https://doi.org/10.17762/ijritcc.v11i9.8338openalex-snapshot
A Deep CNN Framework for UAV Intrusion Detection in Intelligent Systems
inferredcites →https://doi.org/10.23919/cycon55549.2022.9811014openalex-snapshot
Data Quality Problem in AI-Based Network Intrusion Detection Systems Studies and a Solution Proposal
inferredcites →https://doi.org/10.32604/jcs.2023.042486openalex-snapshot
Improving Intrusion Detection in UAV Communication Using an LSTM-SMOTE Classification Method
inferredcites →https://doi.org/10.3389/fenrg.2024.1491332openalex-snapshot
Enhancing unmanned aerial vehicle and smart grid communication security using a ConvLSTM model for intrusion detection
inferredcites →https://doi.org/10.3390/app14135487openalex-snapshot
Multiple Intrusion Detection Using Shapley Additive Explanations and a Heterogeneous Ensemble Model in an Unmanned Aerial Vehicle’s Controller Area Network
inferredcites →https://doi.org/10.3390/app15137329openalex-snapshot
Explainable AI for Forensic Analysis: A Comparative Study of SHAP and LIME in Intrusion Detection Models
inferredcites →https://doi.org/10.3390/drones6100297openalex-snapshot
Crystal Structure Optimization with Deep-Autoencoder-Based Intrusion Detection for Secure Internet of Drones Environment
inferredcites →https://doi.org/10.3390/drones6110342openalex-snapshot
An Intrusion Detection Model for Drone Communication Network in SDN Environment
inferredcites →https://doi.org/10.3390/drones7040248openalex-snapshot
An Intrusion Detection System for Drone Swarming Utilizing Timed Probabilistic Automata
inferredcites →https://doi.org/10.3390/drones7080502openalex-snapshot
A Q-Learning-Based Two-Layer Cooperative Intrusion Detection for Internet of Drones System
inferredcites →https://doi.org/10.3390/drones8070337openalex-snapshot
EDGS-YOLOv8: An Improved YOLOv8 Lightweight UAV Detection Model
inferredcites →https://doi.org/10.3390/drones9010046openalex-snapshot
Enhanced Intrusion Detection in Drone Networks: A Cross-Layer Convolutional Attention Approach for Drone-to-Drone and Drone-to-Base Station Communications
inferredcites →https://doi.org/10.3390/electronics10040449openalex-snapshot
A Survey on Applications of Reinforcement Learning in Flying Ad-Hoc Networks
inferredcites →https://doi.org/10.3390/electronics10131549openalex-snapshot
Machine-Learning-Enabled Intrusion Detection System for Cellular Connected UAV Networks
inferredcites →https://doi.org/10.3390/electronics10212633openalex-snapshot
Internet of Drones Intrusion Detection Using Deep Learning
inferredcites →https://doi.org/10.3390/electronics11193025openalex-snapshot
A Survey on the Use of Deep Learning Techniques for UAV Jamming and Deception
inferredcites →https://doi.org/10.3390/s16122202openalex-snapshot
Development and Validation of a UAV Based System for Air Pollution Measurements
inferredcites →https://doi.org/10.3390/s19245529openalex-snapshot
Intrusion Detection of UAVs Based on the Deep Belief Network Optimized by PSO
inferredcites →https://doi.org/10.3390/s23198077openalex-snapshot
Secure and Privacy-Preserving Intrusion Detection and Prevention in the Internet of Unmanned Aerial Vehicles
inferredcites →https://doi.org/10.3390/sci6030056openalex-snapshot
Detecting Denial of Service Attacks (DoS) over the Internet of Drones (IoD) Based on Machine Learning
inferredcites →https://doi.org/10.4271/01-15-02-0017openalex-snapshot
Anomaly Detection for Unmanned Aerial Vehicle Sensor Data Using a Stacked Recurrent Autoencoder Method with Dynamic Thresholding
inferredcites →https://doi.org/10.9734/ajrcos/2021/v7i430185openalex-snapshot
A Detailed Analysis of Benchmark Datasets for Network Intrusion Detection System

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1007/s44163-026-00960-7openalex-snapshot
Systematic review of machine and deep learning models for unmanned aerial vehicles cyber threat defense
inferred← citeshttps://doi.org/10.1016/j.adhoc.2026.104348openalex-snapshot
FED-FAN: Federated learning-based intrusion detection system for Flying Ad-hoc Networks
inferred← citeshttps://doi.org/10.1016/j.cie.2026.112207openalex-snapshot
Real-time detection of GPS jamming and spoofing attacks on unmanned aerial vehicles using machine learning
inferred← citeshttps://doi.org/10.1016/j.trpro.2026.04.074openalex-snapshot
A Hierarchical Federated Learning Framework for Adaptive UAV Security in Smart Cities
inferred← citeshttps://doi.org/10.1016/j.trpro.2026.04.082openalex-snapshot
Adaptive Deep Reinforcement Learning for Resilient Cybersecurity in Smart-Logistics V2X Networks
inferred← citeshttps://doi.org/10.1109/access.2026.3656899openalex-snapshot
A Lightweight Anomaly Traffic Detection Approach for UAV Swarms Based on Spatiotemporal Feature Interaction
inferred← citeshttps://doi.org/10.1109/cits70307.2026.11637173openalex-snapshot
XAI and Statistical Analysis for Reliable Intrusion Detection in the UAVIDS-2025 Dataset: From Tree to Hybrid and Tabular DNN Ensembles
inferred← citeshttps://doi.org/10.1109/ecmi68341.2026.11602853openalex-snapshot
A Novel Generative AI-based Framework for Anomaly Detection in the UAVs Networks
inferred← citeshttps://doi.org/10.1109/icce67443.2026.11449768openalex-snapshot
Development of Anti-Drone Simulator with Drone Flight Generator
inferred← citeshttps://doi.org/10.1109/icmlt69916.2026.11688962openalex-snapshot
Beyond Detection: A Motion-Aware Trajectory Prediction Framework for UAV Monitoring
inferred← citeshttps://doi.org/10.1109/icndsa68777.2026.11652202openalex-snapshot
AI-Enhanced Intrusion Detection for FinTech Platforms
inferred← citeshttps://doi.org/10.1109/icsipa69622.2026.11720074openalex-snapshot
Lightweight One-Class Autoencoder for UAV Intrusion Detection
inferred← citeshttps://doi.org/10.1109/icuas69441.2026.11598725openalex-snapshot
Secure UTM Infrastructure with Zero Trust: Design and Implementation for UAV Operations
inferred← citeshttps://doi.org/10.1109/rast69551.2026.11672464openalex-snapshot
Addressing Data Leakage in UAV Cyberattack Detection: A Realistic Machine Learning Benchmark
inferred← citeshttps://doi.org/10.1145/3843780.3844539openalex-snapshot
MAVLink Proxy Defense with Intrusion Detection, Safety Quarantine, and Dual-View Deception for UAV Command-and-Control
inferred← citeshttps://doi.org/10.1177/0926227x261487917openalex-snapshot
MaskAug: Architecture-agnostic corruption-aware training for robust network intrusion detection
inferred← citeshttps://doi.org/10.3389/frai.2026.1752124openalex-snapshot
Systematic review of trends in deep learning for UAV cybersecurity
inferred← citeshttps://doi.org/10.3390/drones10040292openalex-snapshot
Recent Advances for Generative AI-Enabled Unmanned Aerial Vehicle Systems and Applicable Technologies
inferred← citeshttps://doi.org/10.3390/drones10080602openalex-snapshot
A Review of AI-Enabled UAV-Based Systems for Defense Applications
inferred← citeshttps://doi.org/10.3390/electronics15061204openalex-snapshot
Securing Unmanned Devices in Critical Infrastructure: A Survey of Hardware, Network, and Swarm Intelligence
inferred← citeshttps://doi.org/10.3390/electronics15163670openalex-snapshot
Beyond Trust Management: Counterfactual Mission Provenance Intelligence for Explainable UAV Swarm Security
inferred← citeshttps://doi.org/10.3390/fi18060301openalex-snapshot
LSTM-VAE for Temporal Anomaly Detection in Drone Trajectory Analysis: A Comparative Study for Critical Infrastructure Protection
inferred← citeshttps://doi.org/10.3390/info17100988openalex-snapshot
PS-CAHE: Protocol-Semantic and Confusion-Pair-Aware Fusion for UAV Intrusion Detection
inferred← citeshttps://doi.org/10.3390/sym18081292openalex-snapshot
Fed-CGIDS-UAV: Federated Causal Graph Learning for Cross-Domain Intrusion Detection in Cyber-Physical Drone Networks
inferred← citeshttps://doi.org/10.37943/25gevu5826openalex-snapshot
DEVELOPMENT AND VERIFICATION OF CYBER SECURITY ARCHITECTURE FOR UNMANNED AERIAL VEHICLE TELEMETRY BASED ON SIMULATION MODELLING
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