OOIR: Observatory of International Research

Papers

(The H4-Index of IEEE Transactions on Network and Service Management is 47. 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.)

Article	Citations
DMRO: A Deep Meta Reinforcement Learning-Based Task Offloading Framework for Edge-Cloud Computing	165
Multi-Stage Optimized Machine Learning Framework for Network Intrusion Detection	140
Privacy-Preserved Task Offloading in Mobile Blockchain With Deep Reinforcement Learning	135
Multi-Agent DRL for Task Offloading and Resource Allocation in Multi-UAV Enabled IoT Edge Network	122
XAI Meets Mobile Traffic Classification: Understanding and Improving Multimodal Deep Learning Architectures	120
A Unified Deep Learning Anomaly Detection and Classification Approach for Smart Grid Environments	119
Efficient and Secure Multi-User Multi-Task Computation Offloading for Mobile-Edge Computing in Mobile IoT Networks	116
HitAnomaly: Hierarchical Transformers for Anomaly Detection in System Log	109
A Comprehensive Survey on the E2E 5G Network Slicing Model	105
A Survey and Future Directions on Clustering: From WSNs to IoT and Modern Networking Paradigms	103
Network Abnormal Traffic Detection Model Based on Semi-Supervised Deep Reinforcement Learning	100
Critical Impact of Social Networks Infodemic on Defeating Coronavirus COVID-19 Pandemic: Twitter-Based Study and Research Directions	91
Gradient Boosting Feature Selection With Machine Learning Classifiers for Intrusion Detection on Power Grids	91
Machine Learning-Based Scaling Management for Kubernetes Edge Clusters	87
FlowPic: A Generic Representation for Encrypted Traffic Classification and Applications Identification	86
A Fuzzy Logic-Based Intelligent Multiattribute Routing Scheme for Two-Layered SDVNs	82
Intelligent Routing Based on Reinforcement Learning for Software-Defined Networking	81
Network Slice Reconfiguration by Exploiting Deep Reinforcement Learning With Large Action Space	80
Real-Time Multiple-Workflow Scheduling in Cloud Environments	79
Swarm of UAVs for Network Management in 6G: A Technical Review	76
A Decentralized Framework for Serverless Edge Computing in the Internet of Things	73
Energy-Efficient Hierarchical Resource Allocation in Uplink–Downlink Decoupled NOMA HetNets	71
Deep Reinforcement Adversarial Learning Against Botnet Evasion Attacks	71
AI-Based Resource Provisioning of IoE Services in 6G: A Deep Reinforcement Learning Approach	70
CANnolo: An Anomaly Detection System Based on LSTM Autoencoders for Controller Area Network	67

DETONAR: Detection of Routing Attacks in RPL-Based IoT	67
Mobility Aware and Dynamic Migration of MEC Services for the Internet of Vehicles	67
Trust-Based Blockchain Authorization for IoT	66
A New Method for Flow-Based Network Intrusion Detection Using the Inverse Potts Model	66
Centralized and Federated Learning for Predictive VNF Autoscaling in Multi-Domain 5G Networks and Beyond	65
Edge Blockchain Assisted Lightweight Privacy-Preserving Data Aggregation for Smart Grid	63
Experimental Review of Neural-Based Approaches for Network Intrusion Management	59
On Demand Fog Federations for Horizontal Federated Learning in IoV	58
Survey of Network Intrusion Detection Methods From the Perspective of the Knowledge Discovery in Databases Process	58
Anomaly Detection for Insider Threats Using Unsupervised Ensembles	57
Holu: Power-Aware and Delay-Constrained VNF Placement and Chaining	57
Dynamic Offloading and Resource Scheduling for Mobile-Edge Computing With Energy Harvesting Devices	55
Characterization and Prediction of Mobile-App Traffic Using Markov Modeling	55
Experimental V2X Evaluation for C-V2X and ITS-G5 Technologies in a Real-Life Highway Environment	53
APPM: Adaptive Parallel Processing Mechanism for Service Function Chains	53
Virtual Network Function Placement in Satellite Edge Computing With a Potential Game Approach	51
Adversarial Network Traffic: Towards Evaluating the Robustness of Deep-Learning-Based Network Traffic Classification	50
A Framework for eBPF-Based Network Functions in an Era of Microservices	50
Efficient Handover Mechanism for Radio Access Network Slicing by Exploiting Distributed Learning	49
Trust-Related Attacks and Their Detection: A Trust Management Model for the Social IoT	48
A Multi-Dimensional Deep Learning Framework for IoT Malware Classification and Family Attribution	48
Blockchain on Security and Forensics Management in Edge Computing for IoT: A Comprehensive Survey	47