IEEE Internet of Things Journal

Papers
(The H4-Index of IEEE Internet of Things Journal is 109. 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 2020-11-01 to 2024-11-01.)
ArticleCitations
6G Internet of Things: A Comprehensive Survey552
Digital Twin Networks: A Survey394
A Survey on Federated Learning: The Journey From Centralized to Distributed On-Site Learning and Beyond387
Enabling Massive IoT Toward 6G: A Comprehensive Survey365
Empowering Things With Intelligence: A Survey of the Progress, Challenges, and Opportunities in Artificial Intelligence of Things357
CorrAUC: A Malicious Bot-IoT Traffic Detection Method in IoT Network Using Machine-Learning Techniques343
IoT, Big Data, and Artificial Intelligence in Agriculture and Food Industry343
Federated Learning Meets Blockchain in Edge Computing: Opportunities and Challenges338
Blockchain for Future Smart Grid: A Comprehensive Survey332
Privacy-Preserving Blockchain-Based Federated Learning for IoT Devices322
Supporting IoT With Rate-Splitting Multiple Access in Satellite and Aerial-Integrated Networks319
A Survey on Federated Learning for Resource-Constrained IoT Devices307
Federated-Learning-Based Anomaly Detection for IoT Security Attacks299
Deep Anomaly Detection for Time-Series Data in Industrial IoT: A Communication-Efficient On-Device Federated Learning Approach299
Blockchain for the Internet of Vehicles Towards Intelligent Transportation Systems: A Survey271
A Deep Blockchain Framework-Enabled Collaborative Intrusion Detection for Protecting IoT and Cloud Networks244
Internet of Things (IoT): A Review of Its Enabling Technologies in Healthcare Applications, Standards Protocols, Security, and Market Opportunities243
Deep-Learning-Enhanced Multitarget Detection for End–Edge–Cloud Surveillance in Smart IoT234
Digital Twin for Intelligent Context-Aware IoT Healthcare Systems232
When Deep Reinforcement Learning Meets Federated Learning: Intelligent Multitimescale Resource Management for Multiaccess Edge Computing in 5G Ultradense Network219
Energy-Optimized Partial Computation Offloading in Mobile-Edge Computing With Genetic Simulated-Annealing-Based Particle Swarm Optimization219
IoT-Based Big Data Secure Management in the Fog Over a 6G Wireless Network214
Learning Graph Structures With Transformer for Multivariate Time-Series Anomaly Detection in IoT209
Recent Advances on Federated Learning for Cybersecurity and Cybersecurity for Federated Learning for Internet of Things205
AoI-Minimal Trajectory Planning and Data Collection in UAV-Assisted Wireless Powered IoT Networks201
Embedding Blockchain Technology Into IoT for Security: A Survey198
Local Differential Privacy-Based Federated Learning for Internet of Things195
Recent Advances in the Internet-of-Medical-Things (IoMT) Systems Security195
EEDTO: An Energy-Efficient Dynamic Task Offloading Algorithm for Blockchain-Enabled IoT-Edge-Cloud Orchestrated Computing192
A Survey on Security and Privacy Issues in Edge-Computing-Assisted Internet of Things191
Dynamic-Fusion-Based Federated Learning for COVID-19 Detection185
Convergence of Blockchain and Edge Computing for Secure and Scalable IIoT Critical Infrastructures in Industry 4.0185
Fortified-Chain: A Blockchain-Based Framework for Security and Privacy-Assured Internet of Medical Things With Effective Access Control182
A Review of Deep Reinforcement Learning for Smart Building Energy Management182
A Survey on Indoor Positioning Systems for IoT-Based Applications177
Adversarial Attacks Against Network Intrusion Detection in IoT Systems177
Computing Systems for Autonomous Driving: State of the Art and Challenges176
Hybrid Satellite-Terrestrial Communication Networks for the Maritime Internet of Things: Key Technologies, Opportunities, and Challenges173
Communication-Efficient Federated Learning and Permissioned Blockchain for Digital Twin Edge Networks173
Blockchain-Based Federated Learning for Device Failure Detection in Industrial IoT173
A Survey on the Metaverse: The State-of-the-Art, Technologies, Applications, and Challenges172
Hierarchical Adversarial Attacks Against Graph-Neural-Network-Based IoT Network Intrusion Detection System171
A Survey on the Convergence of Edge Computing and AI for UAVs: Opportunities and Challenges170
FedMCCS: Multicriteria Client Selection Model for Optimal IoT Federated Learning169
Privacy-Preserving Federated Learning in Fog Computing166
A DRL Agent for Jointly Optimizing Computation Offloading and Resource Allocation in MEC164
Computation Offloading in LEO Satellite Networks With Hybrid Cloud and Edge Computing163
A Survey of Recent Advances in Edge-Computing-Powered Artificial Intelligence of Things163
Integrated Satellite-Terrestrial Networks Toward 6G: Architectures, Applications, and Challenges161
Deep Reinforcement Learning for Energy-Efficient Computation Offloading in Mobile-Edge Computing160
MTH-IDS: A Multitiered Hybrid Intrusion Detection System for Internet of Vehicles158
ToN_IoT: The Role of Heterogeneity and the Need for Standardization of Features and Attack Types in IoT Network Intrusion Data Sets158
Federated Deep Learning for Zero-Day Botnet Attack Detection in IoT-Edge Devices158
UAV-Supported Clustered NOMA for 6G-Enabled Internet of Things: Trajectory Planning and Resource Allocation156
PoisonGAN: Generative Poisoning Attacks Against Federated Learning in Edge Computing Systems155
A Multicloud-Model-Based Many-Objective Intelligent Algorithm for Efficient Task Scheduling in Internet of Things155
Blockchain and PUF-Based Lightweight Authentication Protocol for Wireless Medical Sensor Networks155
Designing Blockchain-Based Access Control Protocol in IoT-Enabled Smart-Grid System153
DeepEDN: A Deep-Learning-Based Image Encryption and Decryption Network for Internet of Medical Things151
Evaluating IoT Platforms Using Integrated Probabilistic Linguistic MCDM Method151
5G Embraces Satellites for 6G Ubiquitous IoT: Basic Models for Integrated Satellite Terrestrial Networks150
URLLC Facilitated by Mobile UAV Relay and RIS: A Joint Design of Passive Beamforming, Blocklength, and UAV Positioning148
Applications of the Internet of Things (IoT) in Smart Logistics: A Comprehensive Survey147
LEO-Satellite-Assisted UAV: Joint Trajectory and Data Collection for Internet of Remote Things in 6G Aerial Access Networks147
BeepTrace: Blockchain-Enabled Privacy-Preserving Contact Tracing for COVID-19 Pandemic and Beyond145
A Lightweight and Robust Secure Key Establishment Protocol for Internet of Medical Things in COVID-19 Patients Care145
Deep Learning in the Industrial Internet of Things: Potentials, Challenges, and Emerging Applications143
Realizing an Effective COVID-19 Diagnosis System Based on Machine Learning and IoT in Smart Hospital Environment142
Blockchain-Enabled Secure Data Sharing Scheme in Mobile-Edge Computing: An Asynchronous Advantage Actor–Critic Learning Approach141
Smart Bandage With Wireless Strain and Temperature Sensors and Batteryless NFC Tag140
Big Data Analytics for 6G-Enabled Massive Internet of Things140
The Performance Evaluation of Blockchain-Based Security and Privacy Systems for the Internet of Things: A Tutorial139
Adversarial Examples—Security Threats to COVID-19 Deep Learning Systems in Medical IoT Devices138
Addressing Security and Privacy Issues of IoT Using Blockchain Technology138
A New Subspace Clustering Strategy for AI-Based Data Analysis in IoT System136
Adaptive Edge Association for Wireless Digital Twin Networks in 6G136
Privacy-Preserving Multiobjective Sanitization Model in 6G IoT Environments135
Enabling Drones in the Internet of Things With Decentralized Blockchain-Based Security134
Energy-Efficient Random Access for LEO Satellite-Assisted 6G Internet of Remote Things134
Energy-Efficient Smart Routing Based on Link Correlation Mining for Wireless Edge Computing in IoT134
Data-Driven Trajectory Quality Improvement for Promoting Intelligent Vessel Traffic Services in 6G-Enabled Maritime IoT Systems130
Hybrid Deep Learning for Botnet Attack Detection in the Internet-of-Things Networks128
Realizing the Heterogeneity: A Self-Organized Federated Learning Framework for IoT127
Lightweight and Anonymity-Preserving User Authentication Scheme for IoT-Based Healthcare127
RFID Reader Anticollision Based on Distributed Parallel Particle Swarm Optimization126
Collaborative Computation Offloading and Resource Allocation in Multi-UAV-Assisted IoT Networks: A Deep Reinforcement Learning Approach126
Cooperative Wireless-Powered NOMA Relaying for B5G IoT Networks With Hardware Impairments and Channel Estimation Errors123
UAV-Assisted Data Collection for Internet of Things: A Survey123
A Scalable Protocol for Driving Trust Management in Internet of Vehicles With Blockchain122
Privacy-Preserving Federated Learning Framework Based on Chained Secure Multiparty Computing122
Secure Artificial Intelligence of Things for Implicit Group Recommendations122
Massive Wireless Energy Transfer: Enabling Sustainable IoT Toward 6G Era121
Secure and Optimized Load Balancing for Multitier IoT and Edge-Cloud Computing Systems120
Mobility Digital Twin: Concept, Architecture, Case Study, and Future Challenges119
Blockchain-Based Cross-Domain Authentication for Intelligent 5G-Enabled Internet of Drones118
Cloud-Edge Orchestration for the Internet of Things: Architecture and AI-Powered Data Processing118
Multiagent Deep Reinforcement Learning for Vehicular Computation Offloading in IoT118
Edge–Cloud Resource Scheduling in Space–Air–Ground-Integrated Networks for Internet of Vehicles117
Toward Location-Enabled IoT (LE-IoT): IoT Positioning Techniques, Error Sources, and Error Mitigation117
Reliability-Constrained Throughput Optimization of Industrial Wireless Sensor Networks With Energy Harvesting Relay116
RepChain: A Reputation-Based Secure, Fast, and High Incentive Blockchain System via Sharding114
A Novel Framework for Mobile-Edge Computing by Optimizing Task Offloading114
Blockchain for Edge of Things: Applications, Opportunities, and Challenges112
Blockchain-Based Edge Computing Resource Allocation in IoT: A Deep Reinforcement Learning Approach112
Data Fusion Approach for Collaborative Anomaly Intrusion Detection in Blockchain-Based Systems111
Federated Learning in the Sky: Aerial-Ground Air Quality Sensing Framework With UAV Swarms111
An Internet-of-Medical-Things-Enabled Edge Computing Framework for Tackling COVID-19110
BEdgeHealth: A Decentralized Architecture for Edge-Based IoMT Networks Using Blockchain110
Robust Spammer Detection Using Collaborative Neural Network in Internet-of-Things Applications110
Deep-Learning-Enabled Security Issues in the Internet of Things109
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