IEEE Internet of Things Journal

Papers
(The median citation count of IEEE Internet of Things Journal is 4. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2020-04-01 to 2024-04-01.)
ArticleCitations
Edge Intelligence: The Confluence of Edge Computing and Artificial Intelligence496
6G Internet of Things: A Comprehensive Survey391
Anomaly Detection for IoT Time-Series Data: A Survey328
Privacy-Preserving Traffic Flow Prediction: A Federated Learning Approach324
A Learning-Based Incentive Mechanism for Federated Learning311
Toward Edge Intelligence: Multiaccess Edge Computing for 5G and Internet of Things311
CorrAUC: A Malicious Bot-IoT Traffic Detection Method in IoT Network Using Machine-Learning Techniques304
A Survey on Federated Learning: The Journey From Centralized to Distributed On-Site Learning and Beyond304
Digital Twin Networks: A Survey299
Empowering Things With Intelligence: A Survey of the Progress, Challenges, and Opportunities in Artificial Intelligence of Things297
Enabling Massive IoT Toward 6G: A Comprehensive Survey295
Blockchain for Future Smart Grid: A Comprehensive Survey292
Deep-Learning-Enhanced Human Activity Recognition for Internet of Healthcare Things283
Decentralized Privacy Using Blockchain-Enabled Federated Learning in Fog Computing275
Federated Learning Meets Blockchain in Edge Computing: Opportunities and Challenges272
IoT, Big Data, and Artificial Intelligence in Agriculture and Food Industry268
A Survey on Access Control in the Age of Internet of Things264
Privacy-Preserving Blockchain-Based Federated Learning for IoT Devices261
Joint Task Offloading and Resource Allocation in UAV-Enabled Mobile Edge Computing253
Supporting IoT With Rate-Splitting Multiple Access in Satellite and Aerial-Integrated Networks252
Deep Anomaly Detection for Time-Series Data in Industrial IoT: A Communication-Efficient On-Device Federated Learning Approach241
Communication-Efficient Federated Learning for Wireless Edge Intelligence in IoT238
Deep Reinforcement Learning for Smart Home Energy Management233
Federated Learning With Cooperating Devices: A Consensus Approach for Massive IoT Networks233
A Vision of C-V2X: Technologies, Field Testing, and Challenges With Chinese Development231
Federated Deep Reinforcement Learning for Internet of Things With Decentralized Cooperative Edge Caching228
Cooperative Computation Offloading and Resource Allocation for Blockchain-Enabled Mobile-Edge Computing: A Deep Reinforcement Learning Approach227
Federated-Learning-Based Anomaly Detection for IoT Security Attacks226
Blockchain for the Internet of Vehicles Towards Intelligent Transportation Systems: A Survey224
Edge-Computing-Enabled Smart Cities: A Comprehensive Survey223
A Survey on Federated Learning for Resource-Constrained IoT Devices221
Passban IDS: An Intelligent Anomaly-Based Intrusion Detection System for IoT Edge Devices221
Multi-UAV-Enabled Load-Balance Mobile-Edge Computing for IoT Networks215
IoT-Based Big Data Secure Management in the Fog Over a 6G Wireless Network202
Reliable Computation Offloading for Edge-Computing-Enabled Software-Defined IoV199
A Deep Blockchain Framework-Enabled Collaborative Intrusion Detection for Protecting IoT and Cloud Networks199
Learning-Based Context-Aware Resource Allocation for Edge-Computing-Empowered Industrial IoT195
An In-Depth Analysis of IoT Security Requirements, Challenges, and Their Countermeasures via Software-Defined Security188
Interaction of Edge-Cloud Computing Based on SDN and NFV for Next Generation IoT182
Internet of Things (IoT): A Review of Its Enabling Technologies in Healthcare Applications, Standards Protocols, Security, and Market Opportunities181
Energy-Optimized Partial Computation Offloading in Mobile-Edge Computing With Genetic Simulated-Annealing-Based Particle Swarm Optimization176
UAV-Assisted Wireless Powered Cooperative Mobile Edge Computing: Joint Offloading, CPU Control, and Trajectory Optimization174
When Deep Reinforcement Learning Meets Federated Learning: Intelligent Multitimescale Resource Management for Multiaccess Edge Computing in 5G Ultradense Network174
Digital Twin for Intelligent Context-Aware IoT Healthcare Systems174
AoI-Minimal Trajectory Planning and Data Collection in UAV-Assisted Wireless Powered IoT Networks172
Kalman-Filter-Based Integration of IMU and UWB for High-Accuracy Indoor Positioning and Navigation172
Deep-Reinforcement-Learning-Based Offloading Scheduling for Vehicular Edge Computing171
MEC-Assisted Immersive VR Video Streaming Over Terahertz Wireless Networks: A Deep Reinforcement Learning Approach169
Deep-Learning-Enhanced Multitarget Detection for End–Edge–Cloud Surveillance in Smart IoT166
Embedding Blockchain Technology Into IoT for Security: A Survey164
EEDTO: An Energy-Efficient Dynamic Task Offloading Algorithm for Blockchain-Enabled IoT-Edge-Cloud Orchestrated Computing161
Dynamic-Fusion-Based Federated Learning for COVID-19 Detection159
Completion Time and Energy Optimization in the UAV-Enabled Mobile-Edge Computing System159
Local Differential Privacy-Based Federated Learning for Internet of Things158
Context-Aware QoS Prediction With Neural Collaborative Filtering for Internet-of-Things Services158
FlowGuard: An Intelligent Edge Defense Mechanism Against IoT DDoS Attacks156
Convergence of Blockchain and Edge Computing for Secure and Scalable IIoT Critical Infrastructures in Industry 4.0155
Collaborate Edge and Cloud Computing With Distributed Deep Learning for Smart City Internet of Things154
Learning-Driven Detection and Mitigation of DDoS Attack in IoT via SDN-Cloud Architecture153
Adversarial Attacks Against Network Intrusion Detection in IoT Systems151
A Game-Based Computation Offloading Method in Vehicular Multiaccess Edge Computing Networks150
Privacy-Preserving Federated Learning in Fog Computing148
A Blockchain-SDN-Enabled Internet of Vehicles Environment for Fog Computing and 5G Networks148
A Survey on Security and Privacy Issues in Edge-Computing-Assisted Internet of Things148
A Multicloud-Model-Based Many-Objective Intelligent Algorithm for Efficient Task Scheduling in Internet of Things147
Deep Reinforcement Learning for Resource Protection and Real-Time Detection in IoT Environment146
Personalized Federated Learning With Differential Privacy144
Recent Advances in the Internet-of-Medical-Things (IoMT) Systems Security144
Challenges to IoT-Enabled Predictive Maintenance for Industry 4.0144
Communication-Efficient Federated Learning and Permissioned Blockchain for Digital Twin Edge Networks143
Dependency-Aware Task Scheduling in Vehicular Edge Computing143
Fortified-Chain: A Blockchain-Based Framework for Security and Privacy-Assured Internet of Medical Things With Effective Access Control141
Hybrid Satellite-Terrestrial Communication Networks for the Maritime Internet of Things: Key Technologies, Opportunities, and Challenges141
Deep-Reinforcement-Learning-Based Mode Selection and Resource Allocation for Cellular V2X Communications140
A Review of Deep Reinforcement Learning for Smart Building Energy Management139
Hierarchical Adversarial Attacks Against Graph-Neural-Network-Based IoT Network Intrusion Detection System139
Recent Advances on Federated Learning for Cybersecurity and Cybersecurity for Federated Learning for Internet of Things138
BeepTrace: Blockchain-Enabled Privacy-Preserving Contact Tracing for COVID-19 Pandemic and Beyond138
Blockchain-Based Federated Learning for Device Failure Detection in Industrial IoT137
Evaluating IoT Platforms Using Integrated Probabilistic Linguistic MCDM Method136
Dynamic Task Offloading and Resource Allocation for Mobile-Edge Computing in Dense Cloud RAN136
UAV-Supported Clustered NOMA for 6G-Enabled Internet of Things: Trajectory Planning and Resource Allocation135
Designing Blockchain-Based Access Control Protocol in IoT-Enabled Smart-Grid System135
FedMCCS: Multicriteria Client Selection Model for Optimal IoT Federated Learning134
Learning Graph Structures With Transformer for Multivariate Time-Series Anomaly Detection in IoT134
Realizing an Effective COVID-19 Diagnosis System Based on Machine Learning and IoT in Smart Hospital Environment132
Computing Systems for Autonomous Driving: State of the Art and Challenges131
Joint Optimization of Offloading Utility and Privacy for Edge Computing Enabled IoT131
AI-Based Joint Optimization of QoS and Security for 6G Energy Harvesting Internet of Things131
Privacy-Preserving Multiobjective Sanitization Model in 6G IoT Environments130
Blockchain-Enabled Secure Data Sharing Scheme in Mobile-Edge Computing: An Asynchronous Advantage Actor–Critic Learning Approach129
Adversarial Examples—Security Threats to COVID-19 Deep Learning Systems in Medical IoT Devices129
URLLC Facilitated by Mobile UAV Relay and RIS: A Joint Design of Passive Beamforming, Blocklength, and UAV Positioning129
Toward Edge-Based Deep Learning in Industrial Internet of Things128
A Survey on Indoor Positioning Systems for IoT-Based Applications128
A New Subspace Clustering Strategy for AI-Based Data Analysis in IoT System128
Smart Bandage With Wireless Strain and Temperature Sensors and Batteryless NFC Tag128
A Novel Intelligent Medical Decision Support Model Based on Soft Computing and IoT127
Big Data Analytics for 6G-Enabled Massive Internet of Things127
Optimal Eco-Driving Control of Connected and Autonomous Vehicles Through Signalized Intersections127
DeepComfort: Energy-Efficient Thermal Comfort Control in Buildings Via Reinforcement Learning127
Hierarchical Incentive Mechanism Design for Federated Machine Learning in Mobile Networks127
Millimeter-Wave Communication for Internet of Vehicles: Status, Challenges, and Perspectives125
Blockchain and PUF-Based Lightweight Authentication Protocol for Wireless Medical Sensor Networks125
A DRL Agent for Jointly Optimizing Computation Offloading and Resource Allocation in MEC124
A Lightweight and Robust Secure Key Establishment Protocol for Internet of Medical Things in COVID-19 Patients Care123
DeepEDN: A Deep-Learning-Based Image Encryption and Decryption Network for Internet of Medical Things123
Addressing Security and Privacy Issues of IoT Using Blockchain Technology122
5G Embraces Satellites for 6G Ubiquitous IoT: Basic Models for Integrated Satellite Terrestrial Networks122
PoisonGAN: Generative Poisoning Attacks Against Federated Learning in Edge Computing Systems122
Computation Offloading in LEO Satellite Networks With Hybrid Cloud and Edge Computing121
Edge QoE: Computation Offloading With Deep Reinforcement Learning for Internet of Things120
Federated Deep Learning for Zero-Day Botnet Attack Detection in IoT-Edge Devices120
Energy-Efficient Smart Routing Based on Link Correlation Mining for Wireless Edge Computing in IoT119
Local Differential Privacy for Deep Learning119
Energy-Efficient Random Access for LEO Satellite-Assisted 6G Internet of Remote Things118
Deep-Learning-Based Joint Resource Scheduling Algorithms for Hybrid MEC Networks118
A Survey of Recent Advances in Edge-Computing-Powered Artificial Intelligence of Things118
From Pre-Quantum to Post-Quantum IoT Security: A Survey on Quantum-Resistant Cryptosystems for the Internet of Things117
Data-Driven Trajectory Quality Improvement for Promoting Intelligent Vessel Traffic Services in 6G-Enabled Maritime IoT Systems117
Deep Reinforcement Learning for Energy-Efficient Computation Offloading in Mobile-Edge Computing116
Enabling Drones in the Internet of Things With Decentralized Blockchain-Based Security116
An Ensemble of Deep Recurrent Neural Networks for Detecting IoT Cyber Attacks Using Network Traffic116
Internet of Ships: A Survey on Architectures, Emerging Applications, and Challenges115
The Performance Evaluation of Blockchain-Based Security and Privacy Systems for the Internet of Things: A Tutorial115
Toward the Internet of Things for Physical Internet: Perspectives and Challenges115
Mobile Internet of Things Under Data Physical Fusion Technology114
LEO-Satellite-Assisted UAV: Joint Trajectory and Data Collection for Internet of Remote Things in 6G Aerial Access Networks114
A Blockchain-Based Trust Management With Conditional Privacy-Preserving Announcement Scheme for VANETs114
DPTO: A Deadline and Priority-Aware Task Offloading in Fog Computing Framework Leveraging Multilevel Feedback Queueing112
MTH-IDS: A Multitiered Hybrid Intrusion Detection System for Internet of Vehicles111
A Scalable Protocol for Driving Trust Management in Internet of Vehicles With Blockchain110
ToN_IoT: The Role of Heterogeneity and the Need for Standardization of Features and Attack Types in IoT Network Intrusion Data Sets110
Integrated Satellite-Terrestrial Networks Toward 6G: Architectures, Applications, and Challenges109
PPO-CPQ: A Privacy-Preserving Optimization of Clinical Pathway Query for E-Healthcare Systems108
A Rigid-Flex Wearable Health Monitoring Sensor Patch for IoT-Connected Healthcare Applications108
AUV-Aided Energy-Efficient Data Collection in Underwater Acoustic Sensor Networks108
Applications of the Internet of Things (IoT) in Smart Logistics: A Comprehensive Survey107
Realizing the Heterogeneity: A Self-Organized Federated Learning Framework for IoT107
Reliability in Internet of Things: Current Status and Future Perspectives106
Deep Learning in the Industrial Internet of Things: Potentials, Challenges, and Emerging Applications106
Secure Artificial Intelligence of Things for Implicit Group Recommendations105
Smart Collaborative Tracking for Ubiquitous Power IoT in Edge-Cloud Interplay Domain105
RepChain: A Reputation-Based Secure, Fast, and High Incentive Blockchain System via Sharding104
A Survey on the Convergence of Edge Computing and AI for UAVs: Opportunities and Challenges104
Reliability-Constrained Throughput Optimization of Industrial Wireless Sensor Networks With Energy Harvesting Relay103
FANN-on-MCU: An Open-Source Toolkit for Energy-Efficient Neural Network Inference at the Edge of the Internet of Things103
Intelligent Cooperative Edge Computing in Internet of Things103
A Cloud–MEC Collaborative Task Offloading Scheme With Service Orchestration103
Cooperative Wireless-Powered NOMA Relaying for B5G IoT Networks With Hardware Impairments and Channel Estimation Errors102
Secure and Optimized Load Balancing for Multitier IoT and Edge-Cloud Computing Systems102
Vcash: A Novel Reputation Framework for Identifying Denial of Traffic Service in Internet of Connected Vehicles102
Hybrid Deep Learning for Botnet Attack Detection in the Internet-of-Things Networks101
Smoothing Traffic Flow via Control of Autonomous Vehicles101
Massive Wireless Energy Transfer: Enabling Sustainable IoT Toward 6G Era101
Locational Detection of the False Data Injection Attack in a Smart Grid: A Multilabel Classification Approach101
FDC: A Secure Federated Deep Learning Mechanism for Data Collaborations in the Internet of Things100
Lightweight and Anonymity-Preserving User Authentication Scheme for IoT-Based Healthcare100
An AUV-Assisted Data Gathering Scheme Based on Clustering and Matrix Completion for Smart Ocean100
Smart City IoT Services Creation Through Large-Scale Collaboration100
A Flexible and Pervasive IoT-Based Healthcare Platform for Physiological and Environmental Parameters Monitoring100
Energy-Efficient Multi-UAV-Enabled Multiaccess Edge Computing Incorporating NOMA99
Collaborative Computation Offloading and Resource Allocation in Multi-UAV-Assisted IoT Networks: A Deep Reinforcement Learning Approach99
A Hybrid Deep Learning Architecture for Privacy-Preserving Mobile Analytics99
Blockchain-Based Cross-Domain Authentication for Intelligent 5G-Enabled Internet of Drones99
Edge–Cloud Resource Scheduling in Space–Air–Ground-Integrated Networks for Internet of Vehicles99
Toward Location-Enabled IoT (LE-IoT): IoT Positioning Techniques, Error Sources, and Error Mitigation98
A Privacy-Preserving Optimization of Neighborhood-Based Recommendation for Medical-Aided Diagnosis and Treatment98
Cloud-Edge Orchestration for the Internet of Things: Architecture and AI-Powered Data Processing98
Multiagent Deep Reinforcement Learning for Vehicular Computation Offloading in IoT98
Trust-Oriented IoT Service Placement for Smart Cities in Edge Computing98
RFID Reader Anticollision Based on Distributed Parallel Particle Swarm Optimization97
Deep-Learning-Enabled Security Issues in the Internet of Things97
Privacy-Preserving Federated Learning Framework Based on Chained Secure Multiparty Computing97
KEIDS: Kubernetes-Based Energy and Interference Driven Scheduler for Industrial IoT in Edge-Cloud Ecosystem97
Edge-Computing-Based Trustworthy Data Collection Model in the Internet of Things97
Certificateless-Signcryption-Based Three-Factor User Access Control Scheme for IoT Environment96
MARINE: Man-in-the-Middle Attack Resistant Trust Model in Connected Vehicles96
Multiagent Deep Reinforcement Learning for Joint Multichannel Access and Task Offloading of Mobile-Edge Computing in Industry 4.096
Robust Spammer Detection Using Collaborative Neural Network in Internet-of-Things Applications95
Blockchain-Based Edge Computing Resource Allocation in IoT: A Deep Reinforcement Learning Approach95
Adaptive Edge Association for Wireless Digital Twin Networks in 6G95
Federated Learning in the Sky: Aerial-Ground Air Quality Sensing Framework With UAV Swarms95
Latency-Aware IoT Service Provisioning in UAV-Aided Mobile-Edge Computing Networks95
A Survey of Internet of Things (IoT) for Geohazard Prevention: Applications, Technologies, and Challenges94
Data Fusion Approach for Collaborative Anomaly Intrusion Detection in Blockchain-Based Systems94
Resource Allocation With Edge Computing in IoT Networks via Machine Learning94
Smart Contract-Based Blockchain-Envisioned Authentication Scheme for Smart Farming93
Deep-Reinforcement-Learning-Based QoS-Aware Secure Routing for SDN-IoT93
An Internet-of-Medical-Things-Enabled Edge Computing Framework for Tackling COVID-1993
A Machine-Learning-Based Technique for False Data Injection Attacks Detection in Industrial IoT93
Blockchain for Edge of Things: Applications, Opportunities, and Challenges93
Deep Reinforcement Learning for Partially Observable Data Poisoning Attack in Crowdsensing Systems93
Energy-Efficient Fog Computing for 6G-Enabled Massive IoT: Recent Trends and Future Opportunities91
Manufacturing Blockchain of Things for the Configuration of a Data- and Knowledge-Driven Digital Twin Manufacturing Cell90
Blockchain-Envisioned UAV Communication Using 6G Networks: Open Issues, Use Cases, and Future Directions90
Resource Allocation for Vehicular Fog Computing Using Reinforcement Learning Combined With Heuristic Information89
Preserving Balance Between Privacy and Data Integrity in Edge-Assisted Internet of Things89
BEdgeHealth: A Decentralized Architecture for Edge-Based IoMT Networks Using Blockchain89
A Novel Framework for Mobile-Edge Computing by Optimizing Task Offloading89
Cascading Failures in Internet of Things: Review and Perspectives on Reliability and Resilience88
Collaborative Data Scheduling for Vehicular Edge Computing via Deep Reinforcement Learning88
Blockchain-Enabled Distributed Security Framework for Next-Generation IoT: An Edge Cloud and Software-Defined Network-Integrated Approach87
Privacy-Preserving Transactive Energy Management for IoT-Aided Smart Homes via Blockchain86
Deep Reinforcement Learning for Economic Dispatch of Virtual Power Plant in Internet of Energy86
SWIPT Cooperative Spectrum Sharing for 6G-Enabled Cognitive IoT Network86
Industrial Security Solution for Virtual Reality86
A Smart-Contract-Based Access Control Framework for Cloud Smart Healthcare System86
Deep-Reinforcement-Learning-Based Autonomous UAV Navigation With Sparse Rewards86
WiFi Vision: Sensing, Recognition, and Detection With Commodity MIMO-OFDM WiFi85
Privacy-Preserving and Pairing-Free Multirecipient Certificateless Encryption With Keyword Search for Cloud-Assisted IIoT85
Toward Big Data Processing in IoT: Path Planning and Resource Management of UAV Base Stations in Mobile-Edge Computing System85
AUToSen: Deep-Learning-Based Implicit Continuous Authentication Using Smartphone Sensors85
Sensor-Based Continuous Authentication of Smartphones’ Users Using Behavioral Biometrics: A Contemporary Survey84
FESDA: Fog-Enabled Secure Data Aggregation in Smart Grid IoT Network84
Behavioral Biometrics for Continuous Authentication in the Internet-of-Things Era: An Artificial Intelligence Perspective84
Mobility Digital Twin: Concept, Architecture, Case Study, and Future Challenges84
Real-Time Mask Identification for COVID-19: An Edge-Computing-Based Deep Learning Framework83
A Survey on the Metaverse: The State-of-the-Art, Technologies, Applications, and Challenges83
User Activity Detection and Channel Estimation for Grant-Free Random Access in LEO Satellite-Enabled Internet of Things83
Offloading Time Optimization via Markov Decision Process in Mobile-Edge Computing82
Dynamic Digital Twin and Distributed Incentives for Resource Allocation in Aerial-Assisted Internet of Vehicles81
Reinforcement Learning for IoT Security: A Comprehensive Survey81
An Efficient Deep Learning Framework for Intelligent Energy Management in IoT Networks81
Online VNF Lifecycle Management in an MEC-Enabled 5G IoT Architecture80
Boosting-Based DDoS Detection in Internet of Things Systems80
GPU-Accelerated Compression and Visualization of Large-Scale Vessel Trajectories in Maritime IoT Industries80
Intelligent Offloading for Collaborative Smart City Services in Edge Computing80
Toward Green Communication in 6G-Enabled Massive Internet of Things80
A Machine-Learning-Based Data-Centric Misbehavior Detection Model for Internet of Vehicles80
A Numerical Splitting and Adaptive Privacy Budget-Allocation-Based LDP Mechanism for Privacy Preservation in Blockchain-Powered IoT80
The Internet of Things in the Oil and Gas Industry: A Systematic Review79
Device-Free Wireless Sensing for Human Detection: The Deep Learning Perspective79
BC-SABE: Blockchain-Aided Searchable Attribute-Based Encryption for Cloud-IoT79
Resource Allocation and 3-D Placement for UAV-Enabled Energy-Efficient IoT Communications79
Machine Learning for the Detection and Identification of Internet of Things Devices: A Survey79
Graph Neural Networks for Anomaly Detection in Industrial Internet of Things78
Security Challenges and Opportunities for Smart Contracts in Internet of Things: A Survey78
Stochastic Optimization-Aided Energy-Efficient Information Collection in Internet of Underwater Things Networks78
Data Augmentation and Dense-LSTM for Human Activity Recognition Using WiFi Signal78
Offloading Optimization in Edge Computing for Deep-Learning-Enabled Target Tracking by Internet of UAVs78
Toward Secure and Provable Authentication for Internet of Things: Realizing Industry 4.078
Design, Resource Management, and Evaluation of Fog Computing Systems: A Survey78
Dyme: Dynamic Microservice Scheduling in Edge Computing Enabled IoT77
Joint DNN Partition Deployment and Resource Allocation for Delay-Sensitive Deep Learning Inference in IoT77
Deep-Learning-Based Pedestrian Inertial Navigation: Methods, Data Set, and On-Device Inference77
Two-Stage Offloading Optimization for Energy–Latency Tradeoff With Mobile Edge Computing in Maritime Internet of Things77
Cloud–Edge-Based Lightweight Temporal Convolutional Networks for Remaining Useful Life Prediction in IIoT77
A Survey on Supply Chain Security: Application Areas, Security Threats, and Solution Architectures77
Drones in Distress: A Game-Theoretic Countermeasure for Protecting UAVs Against GPS Spoofing77
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