OOIR: Observatory of International Research

Papers

(The H4-Index of IEEE Internet of Things Journal is 118. 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 2020-05-01 to 2024-05-01.)

Article	Citations
Edge Intelligence: The Confluence of Edge Computing and Artificial Intelligence	515
6G Internet of Things: A Comprehensive Survey	413
Anomaly Detection for IoT Time-Series Data: A Survey	335
Privacy-Preserving Traffic Flow Prediction: A Federated Learning Approach	331
A Learning-Based Incentive Mechanism for Federated Learning	323
Toward Edge Intelligence: Multiaccess Edge Computing for 5G and Internet of Things	317
A Survey on Federated Learning: The Journey From Centralized to Distributed On-Site Learning and Beyond	316
Digital Twin Networks: A Survey	315
CorrAUC: A Malicious Bot-IoT Traffic Detection Method in IoT Network Using Machine-Learning Techniques	311
Empowering Things With Intelligence: A Survey of the Progress, Challenges, and Opportunities in Artificial Intelligence of Things	305
Enabling Massive IoT Toward 6G: A Comprehensive Survey	303
Blockchain for Future Smart Grid: A Comprehensive Survey	299
Deep-Learning-Enhanced Human Activity Recognition for Internet of Healthcare Things	289
Federated Learning Meets Blockchain in Edge Computing: Opportunities and Challenges	285
IoT, Big Data, and Artificial Intelligence in Agriculture and Food Industry	284
Decentralized Privacy Using Blockchain-Enabled Federated Learning in Fog Computing	283
Privacy-Preserving Blockchain-Based Federated Learning for IoT Devices	272
A Survey on Access Control in the Age of Internet of Things	268
Supporting IoT With Rate-Splitting Multiple Access in Satellite and Aerial-Integrated Networks	262
Communication-Efficient Federated Learning for Wireless Edge Intelligence in IoT	250
Deep Anomaly Detection for Time-Series Data in Industrial IoT: A Communication-Efficient On-Device Federated Learning Approach	250
A Survey on Federated Learning for Resource-Constrained IoT Devices	240
Federated Learning With Cooperating Devices: A Consensus Approach for Massive IoT Networks	238
Federated-Learning-Based Anomaly Detection for IoT Security Attacks	238
A Vision of C-V2X: Technologies, Field Testing, and Challenges With Chinese Development	236

Cooperative Computation Offloading and Resource Allocation for Blockchain-Enabled Mobile-Edge Computing: A Deep Reinforcement Learning Approach	234
Blockchain for the Internet of Vehicles Towards Intelligent Transportation Systems: A Survey	234
Federated Deep Reinforcement Learning for Internet of Things With Decentralized Cooperative Edge Caching	231
Passban IDS: An Intelligent Anomaly-Based Intrusion Detection System for IoT Edge Devices	229
Edge-Computing-Enabled Smart Cities: A Comprehensive Survey	228
Multi-UAV-Enabled Load-Balance Mobile-Edge Computing for IoT Networks	217
A Deep Blockchain Framework-Enabled Collaborative Intrusion Detection for Protecting IoT and Cloud Networks	207
IoT-Based Big Data Secure Management in the Fog Over a 6G Wireless Network	205
Reliable Computation Offloading for Edge-Computing-Enabled Software-Defined IoV	205
Learning-Based Context-Aware Resource Allocation for Edge-Computing-Empowered Industrial IoT	201
An In-Depth Analysis of IoT Security Requirements, Challenges, and Their Countermeasures via Software-Defined Security	195
Energy-Optimized Partial Computation Offloading in Mobile-Edge Computing With Genetic Simulated-Annealing-Based Particle Swarm Optimization	186
Internet of Things (IoT): A Review of Its Enabling Technologies in Healthcare Applications, Standards Protocols, Security, and Market Opportunities	185
When Deep Reinforcement Learning Meets Federated Learning: Intelligent Multitimescale Resource Management for Multiaccess Edge Computing in 5G Ultradense Network	184
Interaction of Edge-Cloud Computing Based on SDN and NFV for Next Generation IoT	184
Digital Twin for Intelligent Context-Aware IoT Healthcare Systems	182
AoI-Minimal Trajectory Planning and Data Collection in UAV-Assisted Wireless Powered IoT Networks	181
Deep-Reinforcement-Learning-Based Offloading Scheduling for Vehicular Edge Computing	175
MEC-Assisted Immersive VR Video Streaming Over Terahertz Wireless Networks: A Deep Reinforcement Learning Approach	174
EEDTO: An Energy-Efficient Dynamic Task Offloading Algorithm for Blockchain-Enabled IoT-Edge-Cloud Orchestrated Computing	172
Deep-Learning-Enhanced Multitarget Detection for End–Edge–Cloud Surveillance in Smart IoT	171
Completion Time and Energy Optimization in the UAV-Enabled Mobile-Edge Computing System	170
Embedding Blockchain Technology Into IoT for Security: A Survey	169
FlowGuard: An Intelligent Edge Defense Mechanism Against IoT DDoS Attacks	165
Dynamic-Fusion-Based Federated Learning for COVID-19 Detection	164
Local Differential Privacy-Based Federated Learning for Internet of Things	164
Convergence of Blockchain and Edge Computing for Secure and Scalable IIoT Critical Infrastructures in Industry 4.0	163
Collaborate Edge and Cloud Computing With Distributed Deep Learning for Smart City Internet of Things	160
Context-Aware QoS Prediction With Neural Collaborative Filtering for Internet-of-Things Services	158
Adversarial Attacks Against Network Intrusion Detection in IoT Systems	157
A Survey on Security and Privacy Issues in Edge-Computing-Assisted Internet of Things	157
A Game-Based Computation Offloading Method in Vehicular Multiaccess Edge Computing Networks	154
Recent Advances in the Internet-of-Medical-Things (IoMT) Systems Security	153
Privacy-Preserving Federated Learning in Fog Computing	153
Dependency-Aware Task Scheduling in Vehicular Edge Computing	152
Personalized Federated Learning With Differential Privacy	151
A Multicloud-Model-Based Many-Objective Intelligent Algorithm for Efficient Task Scheduling in Internet of Things	150
A Blockchain-SDN-Enabled Internet of Vehicles Environment for Fog Computing and 5G Networks	149
Communication-Efficient Federated Learning and Permissioned Blockchain for Digital Twin Edge Networks	148
Challenges to IoT-Enabled Predictive Maintenance for Industry 4.0	148
Blockchain-Based Federated Learning for Device Failure Detection in Industrial IoT	148
Deep Reinforcement Learning for Resource Protection and Real-Time Detection in IoT Environment	148
Fortified-Chain: A Blockchain-Based Framework for Security and Privacy-Assured Internet of Medical Things With Effective Access Control	147
Recent Advances on Federated Learning for Cybersecurity and Cybersecurity for Federated Learning for Internet of Things	147
A Review of Deep Reinforcement Learning for Smart Building Energy Management	145
Hybrid Satellite-Terrestrial Communication Networks for the Maritime Internet of Things: Key Technologies, Opportunities, and Challenges	144
Deep-Reinforcement-Learning-Based Mode Selection and Resource Allocation for Cellular V2X Communications	144
Hierarchical Adversarial Attacks Against Graph-Neural-Network-Based IoT Network Intrusion Detection System	142
BeepTrace: Blockchain-Enabled Privacy-Preserving Contact Tracing for COVID-19 Pandemic and Beyond	141
Learning Graph Structures With Transformer for Multivariate Time-Series Anomaly Detection in IoT	141

UAV-Supported Clustered NOMA for 6G-Enabled Internet of Things: Trajectory Planning and Resource Allocation	139
Computing Systems for Autonomous Driving: State of the Art and Challenges	139
FedMCCS: Multicriteria Client Selection Model for Optimal IoT Federated Learning	139
A Survey on Indoor Positioning Systems for IoT-Based Applications	139
Evaluating IoT Platforms Using Integrated Probabilistic Linguistic MCDM Method	138
AI-Based Joint Optimization of QoS and Security for 6G Energy Harvesting Internet of Things	136
Designing Blockchain-Based Access Control Protocol in IoT-Enabled Smart-Grid System	135
Realizing an Effective COVID-19 Diagnosis System Based on Machine Learning and IoT in Smart Hospital Environment	133
Privacy-Preserving Multiobjective Sanitization Model in 6G IoT Environments	133
A New Subspace Clustering Strategy for AI-Based Data Analysis in IoT System	132
Adversarial Examples—Security Threats to COVID-19 Deep Learning Systems in Medical IoT Devices	132
Optimal Eco-Driving Control of Connected and Autonomous Vehicles Through Signalized Intersections	132
URLLC Facilitated by Mobile UAV Relay and RIS: A Joint Design of Passive Beamforming, Blocklength, and UAV Positioning	132
Toward Edge-Based Deep Learning in Industrial Internet of Things	131
Hierarchical Incentive Mechanism Design for Federated Machine Learning in Mobile Networks	131
DeepEDN: A Deep-Learning-Based Image Encryption and Decryption Network for Internet of Medical Things	131
Blockchain-Enabled Secure Data Sharing Scheme in Mobile-Edge Computing: An Asynchronous Advantage Actor–Critic Learning Approach	130
DeepComfort: Energy-Efficient Thermal Comfort Control in Buildings Via Reinforcement Learning	130
Smart Bandage With Wireless Strain and Temperature Sensors and Batteryless NFC Tag	130
Big Data Analytics for 6G-Enabled Massive Internet of Things	129
5G Embraces Satellites for 6G Ubiquitous IoT: Basic Models for Integrated Satellite Terrestrial Networks	128
Blockchain and PUF-Based Lightweight Authentication Protocol for Wireless Medical Sensor Networks	128
Federated Deep Learning for Zero-Day Botnet Attack Detection in IoT-Edge Devices	128
A Lightweight and Robust Secure Key Establishment Protocol for Internet of Medical Things in COVID-19 Patients Care	128
Millimeter-Wave Communication for Internet of Vehicles: Status, Challenges, and Perspectives	128
A DRL Agent for Jointly Optimizing Computation Offloading and Resource Allocation in MEC	127
A Novel Intelligent Medical Decision Support Model Based on Soft Computing and IoT	127
PoisonGAN: Generative Poisoning Attacks Against Federated Learning in Edge Computing Systems	127
Computation Offloading in LEO Satellite Networks With Hybrid Cloud and Edge Computing	127
Addressing Security and Privacy Issues of IoT Using Blockchain Technology	126
Deep Reinforcement Learning for Energy-Efficient Computation Offloading in Mobile-Edge Computing	124
A Survey of Recent Advances in Edge-Computing-Powered Artificial Intelligence of Things	124
Local Differential Privacy for Deep Learning	123
Deep-Learning-Based Joint Resource Scheduling Algorithms for Hybrid MEC Networks	123
Edge QoE: Computation Offloading With Deep Reinforcement Learning for Internet of Things	122
Energy-Efficient Random Access for LEO Satellite-Assisted 6G Internet of Remote Things	122
From Pre-Quantum to Post-Quantum IoT Security: A Survey on Quantum-Resistant Cryptosystems for the Internet of Things	122
Data-Driven Trajectory Quality Improvement for Promoting Intelligent Vessel Traffic Services in 6G-Enabled Maritime IoT Systems	120
Internet of Ships: A Survey on Architectures, Emerging Applications, and Challenges	120
Energy-Efficient Smart Routing Based on Link Correlation Mining for Wireless Edge Computing in IoT	120
The Performance Evaluation of Blockchain-Based Security and Privacy Systems for the Internet of Things: A Tutorial	119
Enabling Drones in the Internet of Things With Decentralized Blockchain-Based Security	119
MTH-IDS: A Multitiered Hybrid Intrusion Detection System for Internet of Vehicles	118
LEO-Satellite-Assisted UAV: Joint Trajectory and Data Collection for Internet of Remote Things in 6G Aerial Access Networks	118