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Internet of Drones Intrusion Detection Using Deep Learning
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1002/ett.4150openalex-snapshot
Network intrusion detection system: A systematic study of machine learning and deep learning approaches
inferredcites →https://doi.org/10.1007/978-3-030-31703-4openalex-snapshot
Cyber Security: The Lifeline of Information and Communication Technology
inferredcites →https://doi.org/10.1007/978-3-319-53396-4_15openalex-snapshot
Importance of Cyber Security
inferredcites →https://doi.org/10.1007/978-3-319-98842-9_6openalex-snapshot
Machine Learning Algorithms for Network Intrusion Detection
inferredcites →https://doi.org/10.1007/s12652-018-1093-8openalex-snapshot
LR-HIDS: logistic regression host-based intrusion detection system for cloud environments
inferredcites →https://doi.org/10.1016/0167-4048(93)90029-5openalex-snapshot
A survey of intrusion detection techniques
inferredcites →https://doi.org/10.1016/j.comcom.2004.12.029openalex-snapshot
Energy-efficient secure pattern based data aggregation for wireless sensor networks
inferredcites →https://doi.org/10.1016/j.compeleceng.2014.01.009openalex-snapshot
Collaborative trust aware intelligent intrusion detection in VANETs
inferredcites →https://doi.org/10.1016/j.compeleceng.2015.02.018openalex-snapshot
An accurate and efficient collaborative intrusion detection framework to secure vehicular networks
inferredcites →https://doi.org/10.1016/j.eswa.2010.08.137openalex-snapshot
Real-time anomaly detection systems for Denial-of-Service attacks by weighted k-nearest-neighbor classifiers
inferredcites →https://doi.org/10.1016/j.eswa.2010.12.141openalex-snapshot
Incremental SVM based on reserved set for network intrusion detection
inferredcites →https://doi.org/10.1016/j.eswa.2013.08.066openalex-snapshot
A novel hybrid intrusion detection method integrating anomaly detection with misuse detection
inferredcites →https://doi.org/10.1016/j.eswa.2016.09.041openalex-snapshot
Multi-level hybrid support vector machine and extreme learning machine based on modified K-means for intrusion detection system
inferredcites →https://doi.org/10.1016/j.jksuci.2015.12.004openalex-snapshot
Intrusion detection model using fusion of chi-square feature selection and multi class SVM
inferredcites →https://doi.org/10.1016/j.jnca.2010.07.016openalex-snapshot
VWCA: An efficient clustering algorithm in vehicular ad hoc networks
inferredcites →https://doi.org/10.1016/j.procs.2017.09.129openalex-snapshot
RFAODE: A Novel Ensemble Intrusion Detection System
inferredcites →https://doi.org/10.1016/j.proeng.2012.01.849openalex-snapshot
Network Anomaly Detection by Cascading K-Means Clustering and C4.5 Decision Tree algorithm
inferredcites →https://doi.org/10.1016/j.scs.2021.102994openalex-snapshot
A new distributed architecture for evaluating AI-based security systems at the edge: Network TON_IoT datasets
inferredcites →https://doi.org/10.1016/s1389-1286(98)00017-6openalex-snapshot
Towards a taxonomy of intrusion-detection systems
inferredcites →https://doi.org/10.1109/access.2018.2872784openalex-snapshot
Data Mining Techniques in Intrusion Detection Systems: A Systematic Literature Review
inferredcites →https://doi.org/10.1109/ccwc.2019.8666588openalex-snapshot
Deep Learning Models for Cyber Security in IoT Networks
inferredcites →https://doi.org/10.1109/iccsn.2016.7586590openalex-snapshot
Comparison deep learning method to traditional methods using for network intrusion detection
inferredcites →https://doi.org/10.1109/icdcsw.2014.14openalex-snapshot
Machine-Learning-Based Feature Selection Techniques for Large-Scale Network Intrusion Detection
inferredcites →https://doi.org/10.1109/ispass.2019.00028openalex-snapshot
Analyzing Machine Learning Workloads Using a Detailed GPU Simulator
inferredcites →https://doi.org/10.1109/mcom.2017.1600799cmopenalex-snapshot
Drone-Assisted Public Safety Networks: The Security Aspect
inferredcites →https://doi.org/10.1109/pccc.2018.8711068openalex-snapshot
Real-time Distributed-Random-Forest-Based Network Intrusion Detection System Using Apache Spark
inferredcites →https://doi.org/10.1109/smartcomp.2017.7946998openalex-snapshot
DeepDefense: Identifying DDoS Attack via Deep Learning
inferredcites →https://doi.org/10.1109/tsmcc.2008.923876openalex-snapshot
Random-Forests-Based Network Intrusion Detection Systems
inferredcites →https://doi.org/10.1145/3170521.3170522openalex-snapshot
Analyzing attack strategies against rule-based intrusion detection systems
inferredcites →https://doi.org/10.1145/967900.967989openalex-snapshot
Naive Bayes vs decision trees in intrusion detection systems
inferredcites →https://doi.org/10.1186/s40537-014-0007-7openalex-snapshot
Deep learning applications and challenges in big data analytics
inferredcites →https://doi.org/10.1186/s42400-019-0038-7openalex-snapshot
Survey of intrusion detection systems: techniques, datasets and challenges
inferredcites →https://doi.org/10.14257/ijfgcn.2016.9.6.32openalex-snapshot
Rule-Based Network Intrusion Detection System for Port Scanning with Efficient Port Scan Detection Rules Using Snort
inferredcites →https://doi.org/10.14569/ijacsa.2015.060414openalex-snapshot
A Novel Distributed Intrusion Detection System for Vehicular Ad Hoc Networks
inferredcites →https://doi.org/10.32604/cmc.2021.014307openalex-snapshot
Enhancing Network Intrusion Detection Model Using Machine Learning Algorithms
inferredcites →https://doi.org/10.32614/rj-2016-017openalex-snapshot
scmamp: Statistical Comparison of Multiple Algorithms in Multiple Problems
inferredcites →https://doi.org/10.3390/electronics8030322openalex-snapshot
Features Dimensionality Reduction Approaches for Machine Learning Based Network Intrusion Detection
inferredcites →https://doi.org/10.3390/electronics9010173openalex-snapshot
Hybrid Intrusion Detection System Based on the Stacking Ensemble of C5 Decision Tree Classifier and One Class Support Vector Machine
inferredcites →https://doi.org/10.3390/electronics9020259openalex-snapshot
An Enhanced Design of Sparse Autoencoder for Latent Features Extraction Based on Trigonometric Simplexes for Network Intrusion Detection Systems
inferredcites →https://doi.org/10.3390/electronics9071120openalex-snapshot
Intrusion Detection System for the Internet of Things Based on Blockchain and Multi-Agent Systems
inferredcites →https://doi.org/10.5121/ijnsa.2012.4208openalex-snapshot
An Implementation of Intrusion Detection System Using Genetic Algorithm
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Unlocking the Potential of Machine Learning for Enhanced Security in Drone-Enabled IoT Networks
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Machine Learning Models for Drone Security: Cognitive Versus Cyber Intelligence for Safety Operations
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Machine Learning-Based Intrusion Detection Systems for the Internet of Drones: A Systematic Mapping Study
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AI-Powered Border Intrusion Detection System Using Satellite Imagery
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Data-Driven Intrusion Detection for UAV Networks: A Machine-Learning System for Multi-attack Recognition
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Online Personalized Federated Learning Methods for Intrusion Detection in Dynamic UAV Networks
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An Intrusion Detection System Using Machine Learning to Secure the Internet of Drones
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Real-time drone detection framework based on advanced texture feature extraction and pattern recognition model using GUI
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Reinforcement learning-based drone-client selection for efficient federated learning-based intrusion detection in FANETs
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READS: Resource efficient attack detection system for drones
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Preventing drone hijacking by authenticating drone operator
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Enhancing intrusion detection using coati optimization algorithm with deep learning on vehicular Adhoc networks
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Federated Machine Learning Approaches for Cybersecurity Communications in Internet of Drones
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3L-BC: a three-layer blockchain architecture for collaborative machine learning in secure drone communications
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Enhanced Dwarf Mongoose optimization algorithm with deep learning-based attack detection for drones
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Mathematical modelling-based blockchain with attention deep learning model for cybersecurity in IoT-consumer electronics
inferred← citeshttps://doi.org/10.1016/j.comcom.2024.05.015openalex-snapshot
SURA -LB: Software-defined IDS with UAV Resource Aware Load-Balancing in FANET disaster scenarios
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Comprehensive systematic review of intelligent approaches in UAV-based intrusion detection, blockchain, and network security
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Sea turtle foraging algorithm with hybrid deep learning-based intrusion detection for the internet of drones environment
inferred← citeshttps://doi.org/10.1016/j.eij.2024.100501openalex-snapshot
Improving intrusion detection using LSTM-RNN to protect drones’ networks
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Machine learning for enhancing transportation security: A comprehensive analysis of electric and flying vehicle systems
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A novel federated learning-based IDS for enhancing UAVs privacy and security
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UAV networks DoS attacks detection using artificial intelligence based on weighted machine learning
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Modelling of oppositional Aquila Optimizer with machine learning enabled secure access control in Internet of drones environment
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Internet of drones security: Taxonomies, open issues, and future directions
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Unmanned aerial vehicle intrusion detection: Deep-meta-heuristic system
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Security situation assessment in UAV swarm networks using TransReSE: A Transformer-ResNeXt-SE based approach
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SoCoMNNet: A SocioCognitive and memristive neural network-based context-aware GPS spoofing detection and mitigation in the Internet of drones
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IoT empowered smart cybersecurity framework for intrusion detection in internet of drones
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Facets of security and safety problems and paradigms for smart aerial mobility and intelligent logistics
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Multihop Intruder Node Detection Scheme (MINDS) for Secured Drones' FANET Communication
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CatBoost-based Intrusion Detection Method for the Physical Layer of Smart Agriculture
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Systematic Literature Review for Detecting Intrusions in Unmanned Aerial Vehicles Using Machine and Deep Learning
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Deep Learning Empowered Service Selection in FANETs: A 5G-Enabled UAV-Cloud Architecture
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Machine Learning-Based Intrusion Detection Systems for the Internet of Drones: A Systematic Literature Review
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Machine Learning-Based Intrusion Detection for Denial-of-Service De-Authentication Attacks on Drones
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A Survey of Security in UAVs and FANETs: Issues, Threats, Analysis of Attacks, and Solutions
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Detecting Malicious Replay Attacks on Drones Using Machine Learning
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Leveraging Human-In-The-Loop Machine Learning and GAN-Synthesized Data for Intrusion Detection in Unmanned Aerial Vehicle Networks
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LSTM-based Deep Learning Model for Cyber-attack Detection Systems in the Internet of Drones
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Deep Learning Based Intrusion Detection for Cybersecurity in Unmanned Aerial Vehicles Network
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SAM-BiMC: An Integrated Intrusion Detection Framework Combining Hybrid Sampling Strategies with Deep Learning
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