On the public citation graph
An Intrusion Detection System for Drone Swarming Utilizing Timed Probabilistic Automata
0 signed · 65 inferred · view as graph
Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.
Is this your work? Sign in with ORCID and put your name on the
claims that are yours.
Reference health. See whether every reference in this work resolves to a
known work and none has been retracted — and get a dated CiteStamped
badge you can embed.
What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/s11036-019-01369-6openalex-snapshot
Improving Formal Verification and Testing Techniques for Internet of Things and Smart Cities
inferredcites →https://doi.org/10.1007/s12065-020-00456-yopenalex-snapshot
Artificial intelligence and game theory controlled autonomous UAV swarms
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.cor.2019.05.021openalex-snapshot
Enhancing biologically inspired swarm behavior: Metaheuristics to foster the optimization of UAVs coordination in target search
inferredcites →https://doi.org/10.1016/j.jii.2019.100106openalex-snapshot
Swarms of Unmanned Aerial Vehicles — A Survey
inferredcites →https://doi.org/10.1016/j.jisa.2021.102940openalex-snapshot
Machine Learning and Software Defined Network to secure communications in a swarm of drones
inferredcites →https://doi.org/10.1093/comjnl/bxz082openalex-snapshot
Hybrid Network Intrusion Detection System for Smart Environments Based on Internet of Things
inferredcites →https://doi.org/10.1109/access.2019.2958328openalex-snapshot
Anti-Jamming Communications in UAV Swarms: A Reinforcement Learning Approach
inferredcites →https://doi.org/10.1109/dcoss49796.2020.00052openalex-snapshot
End-to-End Design for Self-Reconfigurable Heterogeneous Robotic Swarms
inferredcites →https://doi.org/10.1109/iciccs51141.2021.9432146openalex-snapshot
Swarm Intelligence in Disaster Recovery
inferredcites →https://doi.org/10.1109/imcec51613.2021.9482092openalex-snapshot
A Review on Intrusion Drone Target Detection Based on Deep Learning
inferredcites →https://doi.org/10.1109/jsen.2022.3168940openalex-snapshot
GPS Spoofing Detection and Mitigation for Drones Using Distributed Radar Tracking and Fusion
inferredcites →https://doi.org/10.1109/mcom.2018.1800087openalex-snapshot
Spectrum Management for MmWave Enabled UAV Swarm Networks: Challenges and Opportunities
inferredcites →https://doi.org/10.1109/mnet.011.2000210openalex-snapshot
A Blockchain-Based Secure Crowd Monitoring System Using UAV Swarm
inferredcites →https://doi.org/10.1109/tac.2005.864190openalex-snapshot
Flocking for Multi-Agent Dynamic Systems: Algorithms and Theory
inferredcites →https://doi.org/10.1109/tii.2022.3196392openalex-snapshot
Drone Swarm Path Planning for Mobile Edge Computing in Industrial Internet of Things
inferredcites →https://doi.org/10.1109/tra.2003.819598openalex-snapshot
A decentralized approach to formation maneuvers
inferredcites →https://doi.org/10.1109/uemcon.2018.8796596openalex-snapshot
Vulnerabilities and Attacks Analysis for Military and Commercial IoT Drones
inferredcites →https://doi.org/10.1109/vtc2020-spring48590.2020.9128488openalex-snapshot
Efficient and coordinated vertical takeoff of UAV swarms
inferredcites →https://doi.org/10.1115/detc2018-86112openalex-snapshot
Using an Intelligent UAV Swarm in Natural Disaster Environments
inferredcites →https://doi.org/10.1155/2022/4139345openalex-snapshot
Cognitive‐Based High Robustness Frequency Hopping Strategy for UAV Swarms in Complex Electromagnetic Environment
inferredcites →https://doi.org/10.1186/s41018-018-0045-4openalex-snapshot
Search and rescue with autonomous flying robots through behavior-based cooperative intelligence
inferredcites →https://doi.org/10.3389/frobt.2020.00018openalex-snapshot
A Survey on Swarming With Micro Air Vehicles: Fundamental Challenges and Constraints
inferredcites →https://doi.org/10.3390/app10103661openalex-snapshot
Review of Unmanned Aerial Vehicle Swarm Communication Architectures and Routing Protocols
inferredcites →https://doi.org/10.3390/drones3030071openalex-snapshot
Nature-Inspired Drone Swarming for Real-Time Aerial Data-Collection Under Dynamic Operational Constraints
inferredcites →https://doi.org/10.3390/electronics10212633openalex-snapshot
Internet of Drones Intrusion Detection Using Deep Learning
inferredcites →https://doi.org/10.3390/rs11202441openalex-snapshot
Life Signs Detector Using a Drone in Disaster Zones
inferredcites →https://doi.org/10.3390/s21082642openalex-snapshot
Drone Swarms as Networked Control Systems by Integration of Networking and Computing
inferredcites →https://doi.org/10.48550/arxiv.2012.14329openalex-snapshot
Impact of Heterogeneity in Multi-Robot Systems on Collective Behaviors Studied Using a Search and Rescue Problem
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1007/978-3-031-43264-4_43openalex-snapshot
Optimal Rescue Sequences in Disastrous Incidents
inferred← citeshttps://doi.org/10.1007/978-981-96-2179-8_4openalex-snapshot
Detecting Imbalanced Network Traffic Intrusions Using the Long Short-Term Memory (LSTM) Algorithm
inferred← citeshttps://doi.org/10.1007/978-981-96-4142-0_39openalex-snapshot
Deep and Machine Learning Techniques for Detecting Unbalance Network Traffic
inferred← citeshttps://doi.org/10.1007/979-8-8688-1047-3_9openalex-snapshot
Blockchain Application in UAV Swarm Security
inferred← citeshttps://doi.org/10.1007/s00521-024-10306-yopenalex-snapshot
Machine learning approaches to intrusion detection in unmanned aerial vehicles (UAVs)
inferred← citeshttps://doi.org/10.1016/j.eij.2024.100501openalex-snapshot
Improving intrusion detection using LSTM-RNN to protect drones’ networks
inferred← citeshttps://doi.org/10.1016/j.jpdc.2026.105364openalex-snapshot
IDS-DEEP2: Strategies for selecting the best IDS for Drones with heterogeneous or homogeneous EmbEdded parallel platforms
inferred← citeshttps://doi.org/10.1051/itmconf/20246000009openalex-snapshot
CatBoost-based Intrusion Detection Method for the Physical Layer of Smart Agriculture
inferred← citeshttps://doi.org/10.1109/access.2024.3349469openalex-snapshot
A Novel Intrusion Detection System Based on Artificial Neural Network and Genetic Algorithm With a New Dimensionality Reduction Technique for UAV Communication
inferred← citeshttps://doi.org/10.1109/access.2024.3387728openalex-snapshot
Enhanced Network Metric Prediction for Machine Learning-Based Cyber Security of a Software-Defined UAV Relay Network
inferred← citeshttps://doi.org/10.1109/access.2024.3405187openalex-snapshot
Detecting Unbalanced Network Traffic Intrusions With Deep Learning
inferred← citeshttps://doi.org/10.1109/access.2025.3552329openalex-snapshot
Systematic Literature Review for Detecting Intrusions in Unmanned Aerial Vehicles Using Machine and Deep Learning
inferred← citeshttps://doi.org/10.1109/access.2025.3572089openalex-snapshot
Specification and Verification Method of Parallel Hierarchical Timed Automata by Predicate Abstraction and Refinement
inferred← citeshttps://doi.org/10.1109/esem64174.2025.00015openalex-snapshot
Toward Real-Time Intrusion Detection for Autonomous Vehicles: A Vision for Deep Learning-Based Security Frameworks
inferred← citeshttps://doi.org/10.1109/iccpct58313.2023.10245400openalex-snapshot
Assessing Lifespan of Lithium-Ion Rechargeable Batteries through Hybrid CNN-LSTM-DNN Method
inferred← citeshttps://doi.org/10.1109/icec2nt65402.2025.11379937openalex-snapshot
Detecting Unbalanced Network Traffic Intrusions with Deep Learning
inferred← citeshttps://doi.org/10.1109/iceesi68020.2026.11583055openalex-snapshot
Reinforcement Learning-Powered UAV Swarm Coordination for Disaster Response and Real-Time Mapping
inferred← citeshttps://doi.org/10.1109/iwcmc65282.2025.11059673openalex-snapshot
UAV DoS Attack Detection using a Hybrid Transformer-LSTM Approach
inferred← citeshttps://doi.org/10.1109/jiot.2023.3341307openalex-snapshot
Distributed Machine Learning for UAV Swarms: Computing, Sensing, and Semantics
inferred← citeshttps://doi.org/10.1109/jiot.2024.3364230openalex-snapshot
State-of-the-Art and Future Research Challenges in UAV Swarms
inferred← citeshttps://doi.org/10.1109/sbac-pad63648.2024.00020openalex-snapshot
IDS-DEEP: a strategy for selecting the best IDS for Drones with heterogeneous EmbEdded Platforms
inferred← citeshttps://doi.org/10.17586/2226-1494-2025-25-6-1125-1133openalex-snapshot
Method of spatial countering an intruder in a swarm of unmanned aerial vehicles
inferred← citeshttps://doi.org/10.32604/jcs.2023.042486openalex-snapshot
Improving Intrusion Detection in UAV Communication Using an LSTM-SMOTE Classification Method
inferred← citeshttps://doi.org/10.3389/arc.2023.12420openalex-snapshot
Increasing Operational Resiliency of UAV Swarms: An Agent-Focused Search and Rescue Framework
inferred← citeshttps://doi.org/10.3390/drones9100682openalex-snapshot
AI-Enhanced Intrusion Detection for UAV Systems: A Taxonomy and Comparative Review
inferred← citeshttps://doi.org/10.3390/fi15100340openalex-snapshot
Flying Watchdog-Based Guard Patrol with Check Point Data Verification
inferred← citeshttps://doi.org/10.3390/s23177359openalex-snapshot
Designing UAV Swarm Experiments: A Simulator Selection and Experiment Design Process
inferred← citeshttps://doi.org/10.3390/s25030982openalex-snapshot
A PUF-Based Secure Authentication and Key Agreement Scheme for the Internet of Drones
inferred← citeshttps://doi.org/10.3390/s25226852openalex-snapshot
Aeromagnetic Compensation for UAVs Using Transformer Neural Networks
inferred← citeshttps://doi.org/10.3390/sci8010020openalex-snapshot
Cutting-Edge DoS Attack Detection in Drone Networks: Leveraging Machine Learning for Robust Security
inferred← citeshttps://doi.org/10.35444/ijana.2023.15110openalex-snapshot
Exploring the Benefits of Reinforcement Learning for Autonomous Drone Navigation and Control
inferred← citeshttps://doi.org/10.4018/979-8-3693-0774-8.ch007openalex-snapshot
Future Trends and Emerging Threats in Drone Cybersecurity
inferred← citeshttps://doi.org/10.4018/979-8-3693-0774-8.ch010openalex-snapshot
Data Security and Privacy Concerns in Drone Operations
inferred← citeshttps://doi.org/10.4018/ijiit.393274openalex-snapshot
Design of Unmanned Aerial Vehicle Image Intelligent Recognition System Based on Machine Learning Algorithm
inferred← citeshttps://doi.org/10.51408/1963-0133openalex-snapshot
Implementation of an Automata Mechanism for a Self-Organizing Swarm of Drones Platform
inferred← citeshttps://doi.org/10.7546/crabs.2024.08.09openalex-snapshot
Radial Basis Function Neural Networks (RBFNN) for Secure Intrusion Detection in the Internet of Drones (IoD)
Editorial review for independent work. ICSAC — the Institute for Complexity
Science and Advanced Computing — runs a structured editorial panel for researchers
publishing outside journals, and publishes on CiteStamp rails. Submission is free
and goes through ORCID: icsacinstitute.org/submit.