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A Machine Learning SDN-Enabled Big Data Model for IoMT Systems

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What this work says

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

inferredcites →https://doi.org/10.1007/978-3-319-13102-3_68openalex-snapshot
Big Data and IoT for Chronic Patients Monitoring
inferredcites →https://doi.org/10.1007/978-981-13-1882-5_39openalex-snapshot
A Survey on Research Challenges and Applications in Empowering the SDN-Based Internet of Things
inferredcites →https://doi.org/10.1007/s10586-021-03367-4openalex-snapshot
SDN–IoT empowered intelligent framework for industry 4.0 applications during COVID-19 pandemic
inferredcites →https://doi.org/10.1007/s11036-016-0784-7openalex-snapshot
Energy Savings Consumption on Public Wireless Networks by SDN Management
inferredcites →https://doi.org/10.1007/s11276-020-02470-5openalex-snapshot
Optimized mobility management protocol for the IoT based WBAN with an enhanced security
inferredcites →https://doi.org/10.1007/s40846-017-0349-7openalex-snapshot
IoT-Based Healthcare Framework for Biomedical Applications
inferredcites →https://doi.org/10.1016/j.comcom.2018.12.001openalex-snapshot
GMMR: A Gaussian mixture model based unsupervised machine learning approach for optimal routing in opportunistic IoT networks
inferredcites →https://doi.org/10.1016/j.comcom.2020.06.003openalex-snapshot
Energy-efficient and SDN-enabled routing algorithm for wireless body area networks
inferredcites →https://doi.org/10.1016/j.comcom.2021.01.013openalex-snapshot
A hybrid DL-driven intelligent SDN-enabled malware detection framework for Internet of Medical Things (IoMT)
inferredcites →https://doi.org/10.1016/j.comnet.2019.04.021openalex-snapshot
A novel cluster head selection technique for edge-computing based IoMT systems
inferredcites →https://doi.org/10.1016/j.compeleceng.2020.106738openalex-snapshot
Near real-time security system applied to SDN environments in IoT networks using convolutional neural network
inferredcites →https://doi.org/10.1016/j.future.2018.03.052openalex-snapshot
Convergence of IoT and product lifecycle management in medical health care
inferredcites →https://doi.org/10.1016/j.jiph.2020.06.027openalex-snapshot
Secure and energy-efficient framework using Internet of Medical Things for e-healthcare
inferredcites →https://doi.org/10.1016/j.jnca.2017.04.002openalex-snapshot
Internet of Things security: A survey
inferredcites →https://doi.org/10.1016/j.scs.2020.102370openalex-snapshot
Secure and resilient demand side management engine using machine learning for IoT-enabled smart grid
inferredcites →https://doi.org/10.1016/j.scs.2021.102779openalex-snapshot
Intelligent and secure edge-enabled computing model for sustainable cities using green internet of things
inferredcites →https://doi.org/10.1049/iet-ifs.2020.0086openalex-snapshot
SPCOR: a secure and privacy‐preserving protocol for mobile‐healthcare emergency to reap computing opportunities at remote and nearby
inferredcites →https://doi.org/10.1108/prr-08-2019-0027openalex-snapshot
Smart healthcare
inferredcites →https://doi.org/10.1109/34.400568openalex-snapshot
Mean shift, mode seeking, and clustering
inferredcites →https://doi.org/10.1109/access.2015.2437951openalex-snapshot
The Internet of Things for Health Care: A Comprehensive Survey
inferredcites →https://doi.org/10.1109/access.2018.2853985openalex-snapshot
Security and Privacy in Smart Cities: Challenges and Opportunities
inferredcites →https://doi.org/10.1109/access.2019.2922971openalex-snapshot
Secret Sharing-Based Energy-Aware and Multi-Hop Routing Protocol for IoT Based WSNs
inferredcites →https://doi.org/10.1109/access.2020.2976819openalex-snapshot
Energy Optimized Congestion Control-Based Temperature Aware Routing Algorithm for Software Defined Wireless Body Area Networks
inferredcites →https://doi.org/10.1109/access.2020.3026260openalex-snapshot
An Intrusion Detection System for Internet of Medical Things
inferredcites →https://doi.org/10.1109/comst.2017.2691551openalex-snapshot
Structural Health Monitoring Using Wireless Sensor Networks: A Comprehensive Survey
inferredcites →https://doi.org/10.1109/eict48899.2019.9068848openalex-snapshot
G-TBSA: A Generalized Lightweight Security Algorithm for IoT
inferredcites →https://doi.org/10.1109/icc40277.2020.9149180openalex-snapshot
LIMITS: Lightweight Machine Learning for IoT Systems with Resource Limitations
inferredcites →https://doi.org/10.1109/iccsp.2017.8286656openalex-snapshot
Recent trends in wireless sensors for medical applications
inferredcites →https://doi.org/10.1109/icmcis52405.2021.9486399openalex-snapshot
Software-Defined Networking Applied in Tactical Networks: Problems, Solutions and Open Issues
inferredcites →https://doi.org/10.1109/jiot.2017.2767291openalex-snapshot
Evaluating Critical Security Issues of the IoT World: Present and Future Challenges
inferredcites →https://doi.org/10.1109/jiot.2019.2898113openalex-snapshot
IoT Big Data Security and Privacy Versus Innovation
inferredcites →https://doi.org/10.1109/jiot.2020.3020951openalex-snapshot
HUNA: A Method of Hierarchical Unsupervised Network Alignment for IoT
inferredcites →https://doi.org/10.1109/jsyst.2016.2630923openalex-snapshot
A Machine Learning-Based Protocol for Efficient Routing in Opportunistic Networks
inferredcites →https://doi.org/10.1109/mass.2015.100openalex-snapshot
Black SDN for the Internet of Things
inferredcites →https://doi.org/10.1109/mcom.2016.1600492cmopenalex-snapshot
EdgeIoT: Mobile Edge Computing for the Internet of Things
inferredcites →https://doi.org/10.1109/tmscs.2017.2710194openalex-snapshot
A Health Decision Support System for Disease Diagnosis Based on Wearable Medical Sensors and Machine Learning Ensembles
inferredcites →https://doi.org/10.1109/wmnc.2017.8248858openalex-snapshot
Lightweight algorithm for protecting SDN controller against DDoS attacks
inferredcites →https://doi.org/10.1145/3397679openalex-snapshot
A Novel Multiobjective GDWCN-PSO Algorithm and Its Application to Medical Data Security
inferredcites →https://doi.org/10.1145/359340.359342openalex-snapshot
A method for obtaining digital signatures and public-key cryptosystems
inferredcites →https://doi.org/10.3390/electronics10080918openalex-snapshot
SDN-Enabled Hybrid DL-Driven Framework for the Detection of Emerging Cyber Threats in IoT
inferredcites →https://doi.org/10.3390/s20092468openalex-snapshot
SASC: Secure and Authentication-Based Sensor Cloud Architecture for Intelligent Internet of Things

What points at this work

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

inferred← citeshttps://doi.org/10.1002/9781394212798.ch13openalex-snapshot
Resource‐Constrained Network Management Using Software‐Defined Networks
inferred← citeshttps://doi.org/10.1002/dac.5946openalex-snapshot
Bilevel access control and constraint‐aware response provisioning in edge‐enabled software defined network‐internet of things network using the s afeguard authentication dynamic access control model
inferred← citeshttps://doi.org/10.1007/978-3-031-65522-7_62openalex-snapshot
Privacy Preservation for the IoMT Using Federated Learning and Blockchain Technologies
inferred← citeshttps://doi.org/10.1007/978-3-032-28171-5_4openalex-snapshot
Big Data and Internet of Marine Things (IoMTs): Opportunity, Challenges and Direction Trends
inferred← citeshttps://doi.org/10.1007/978-981-99-0236-1_40openalex-snapshot
Security and Privacy in IoMT-Based Digital Health care: A Survey
inferred← citeshttps://doi.org/10.1007/s00500-023-08417-0openalex-snapshot
RETRACTED ARTICLE: Cloud data transmission based on security and improved routing through hybrid machine learning techniques
inferred← citeshttps://doi.org/10.1007/s10115-025-02402-9openalex-snapshot
Multi-attention DeepCRNN: an efficient and explainable intrusion detection framework for Internet of Medical Things environments
inferred← citeshttps://doi.org/10.1007/s10586-025-05294-0openalex-snapshot
SDN layers verification and secure IoT data transmisson using HFYMAC and GLE-GRU
inferred← citeshttps://doi.org/10.1007/s11227-022-04453-zopenalex-snapshot
Extreme learning machine and bayesian optimization-driven intelligent framework for IoMT cyber-attack detection
inferred← citeshttps://doi.org/10.1007/s11277-026-12144-8openalex-snapshot
Smart SDN-IoT Intrusion Detection for Healthcare via Hybrid Global Mask Transformer
inferred← citeshttps://doi.org/10.1007/s13369-024-08835-8openalex-snapshot
An Ensemble Edge Computing Approach for SD-IoT security Using Ensemble of Feature Selection Methods and Classification
inferred← citeshttps://doi.org/10.1016/j.bdr.2025.100534openalex-snapshot
Big data analytics for smart home energy management system based on IOMT using AHP and WASPAS
inferred← citeshttps://doi.org/10.1016/j.cose.2024.103907openalex-snapshot
Addressing security challenges in industry 4.0: AVA-MA approach for strengthening SDN-IoT network security
inferred← citeshttps://doi.org/10.1016/j.measen.2022.100580openalex-snapshot
Network intrusion detection in software defined networking with self-organized constraint-based intelligent learning framework
inferred← citeshttps://doi.org/10.1016/j.procs.2025.04.599openalex-snapshot
Investigation of Security Attacks in IoMT Devices and Federated Learning as a Mitigation Strategy
inferred← citeshttps://doi.org/10.1016/j.rineng.2024.103787openalex-snapshot
Transformative impacts of the internet of medical things on modern healthcare
inferred← citeshttps://doi.org/10.1038/s41598-024-57484-2openalex-snapshot
An IoT-based low-cost architecture for smart libraries using SDN
inferred← citeshttps://doi.org/10.1038/s41598-024-59846-2openalex-snapshot
A Deep Auto-Optimized Collaborative Learning (DACL) model for disease prognosis using AI-IoMT systems
inferred← citeshttps://doi.org/10.1038/s41598-026-37832-0openalex-snapshot
A hybrid XGBoost–SVM ensemble framework for robust cyber-attack detection in the internet of medical things (IoMT)
inferred← citeshttps://doi.org/10.1109/access.2024.3362239openalex-snapshot
Empowering Healthcare With IoMT: Evolution, Machine Learning Integration, Security, and Interoperability Challenges
inferred← citeshttps://doi.org/10.1109/access.2024.3392279openalex-snapshot
DQQS: Deep Reinforcement Learning-Based Technique for Enhancing Security and Performance in SDN-IoT Environments
inferred← citeshttps://doi.org/10.1109/globecom52923.2024.10901072openalex-snapshot
SDN-care: Deep Learning-assisted Software Defined Networking Framework for IoT-Healthcare
inferred← citeshttps://doi.org/10.1109/globecom54140.2023.10436839openalex-snapshot
Blockchain and Deep Learning-Based IDS for Securing SDN-Enabled Industrial IoT Environments
inferred← citeshttps://doi.org/10.1109/globecom54140.2023.10437852openalex-snapshot
RISP-SDN: Reputation Aware IoMT Service Provisioning Using SDN in Edge/Fog-Based Systems
inferred← citeshttps://doi.org/10.1109/i2ct57861.2023.10126117openalex-snapshot
A Study on Advanced Networking using Intelligent Systems Applications
inferred← citeshttps://doi.org/10.1109/iccsc62074.2024.10616456openalex-snapshot
Deep Learning for Enhanced IoMT Security: A GNN-BiLSTM Intrusion Detection System
inferred← citeshttps://doi.org/10.1109/iccworkshops57953.2023.10283774openalex-snapshot
AI-based Intelligent SDN Controller to Optimize Onion Routing Framework for IoMT Environment
inferred← citeshttps://doi.org/10.1109/icears53579.2022.9751848openalex-snapshot
Pragmatic Analysis of IoMT Network Modelling Techniques from a Statistical Perspective
inferred← citeshttps://doi.org/10.1109/ised59382.2023.10444590openalex-snapshot
Federated Learning for Getting the IoT Arrangement of Smart City Against Digital Threats
inferred← citeshttps://doi.org/10.1109/jiot.2022.3175669openalex-snapshot
A Multiprotocol Controller Deployment in SDN-Based IoMT Architecture
inferred← citeshttps://doi.org/10.1109/lanman66415.2025.11154492openalex-snapshot
Deployment of a Machine Learning-SDN Pipeline for IoT Threat Detection in Smart City Environments
inferred← citeshttps://doi.org/10.1109/smartiot66867.2025.00024openalex-snapshot
IoMT Patient Monitoring with Blockchain and Fog Computing: A Secure and Efficient Architecture
inferred← citeshttps://doi.org/10.1145/3570236.3570267openalex-snapshot
Research on the construction of multiple linear regression model based on satisfaction
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Research on building regression model based on capability improvement
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Securing the IoT System of Smart City against Cyber Threats Using Deep Learning
inferred← citeshttps://doi.org/10.21203/rs.3.rs-5737066/v1openalex-snapshot
Advanced Machine Learning-Driven Cyber Attack Detection in the Internet of Medical Things (IoMT) Ecosystem
inferred← citeshttps://doi.org/10.32604/cmc.2024.052994openalex-snapshot
Security and Privacy Challenges in SDN-Enabled IoT Systems: Causes, Proposed Solutions, and Future Directions
inferred← citeshttps://doi.org/10.32604/csse.2023.030984openalex-snapshot
Adaptive Partial Task Offloading and Virtual Resource Placement in SDN/NFV-Based Network Softwarization
inferred← citeshttps://doi.org/10.3390/electronics10222851openalex-snapshot
A Survey of Machine Learning Techniques for Video Quality Prediction from Quality of Delivery Metrics
inferred← citeshttps://doi.org/10.3390/electronics12030574openalex-snapshot
Energy-Aware Next-Generation Mobile Routing Chains with Fog Computing for Emerging Applications
inferred← citeshttps://doi.org/10.3390/fi16110430openalex-snapshot
Resilience in the Internet of Medical Things: A Review and Case Study
inferred← citeshttps://doi.org/10.3390/s21217119openalex-snapshot
Biserial Miyaguchi–Preneel Blockchain-Based Ruzicka-Indexed Deep Perceptive Learning for Malware Detection in IoMT
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Analysis of the Use of Artificial Intelligence in Software-Defined Intelligent Networks: A Survey
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Internet of Medical Things and the Evolution of Healthcare 4.0: Exploring Recent Trends
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Securing the IoT System of Smart Cities by Interactive Layered Neuro-Fuzzy Inference Network Classifier With Asymmetric Cryptography
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Optimizing Energy-Efficient Resource Allocation in SDN/NFV Environments: A Comprehensive Investigation Using WASPAS Method
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A secured and energy-efficient system for patient e-healthcare monitoring using the Internet of Medical Things (IoMT)
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Cyberattacks Detection in IoMT using Machine Learning Techniques
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Machine learning and deep learning approaches in IoT
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