- A simulator for reinforcement learning solutions to the multi-UAV based Wi-Fi network coverage problem
- SereBench: Adversarial robustness benchmarking for security and reliability event classification in networked railway cyber–physical systems
- Certificateless signature scheme with group secret-sharing for cloud-assisted industrial internet of things
- CSCC: Coordinated sub-RTT congestion control for cross-datacenter RDMA
- AoP-aware computation offloading in program caching–enabled SAGINs: A two-timescale DRL-based approach
- Priority-aware joint trajectory design and computation offloading in multi-UAV assisted MEC: A hybrid MAPPO and bipartite graph matching approach
- Dynamic edge orchestration with cross-domain actions for edge offloading in 5G networks
- AIR-V: Adaptive UAV-Assisted Multi-IRS Model for Vehicular Connectivity Restoration
- VFRDAD: An IoT Encrypted traffic identification method based on multi-scale local information and enhanced global information fusion
- Multi-agent reinforcement learning for energy-efficient cooperative UAV deployment in 5G networks
- Joint buffer admission and contact-window-aware scheduling for heterogeneous traffic in cislunar DTNs
- Beyond MPC: A hybrid RL-optimization approach for reconfigurable core network slicing
- SPARROW: Planar Separator–Based Reliability-Constrained Routing for Urban Vehicular IoT Networks
- Improving traffic visibility and control in IoT-Satellite networks to prevent spoofing and denial-of-service attacks
- A Privacy-Preserving Scheme for Space-Air-Ground Integrated Vehicular Networks Empowered by Blockchain and Federated Learning
- Tetris: An SLA-aware application placement strategy in the Edge-Cloud Continuum
- ES-AKA: An Enhanced Secure Authentication and Key Agreement Protocol for 5G and Non-3GPP IoT Access
- A comprehensive layered framework for telesurgery: Technologies, challenges, and future directions
- Q-Defender: Admission-time mitigation of persistent coordinated sybil attacks in Semantic-ISAC healthcare systems
- Energy-efficient hybrid beamforming for near-field MIMO communication systems
- Protocol-aware bounded-blackout routing for UAV-assisted heterogeneous IoT sensor networks
- DecoySlice: Closed-loop decoy-slice defense against DDoS propagation in 5G network slicing
- Efficient non-profiled side-channel attack using multi-output deep neural network and transfer learning
- EdgeGuard-IoT: A Lightweight, Corruption-Robust and Explainable Hierarchical Intrusion Detection System for Resource-Constrained IoT Gateways
- UAV-Assisted Priority-Aware Resource Allocation for DT-Enabled Vehicular Edge Computing Networks
- Beyond heuristics in blockchain: Toward a principled characterization of node availability via a data-driven approach
- SaGNN: Encrypted traffic classification with semantic-aware heterogeneous graph neural network
- Optimizing video streaming with a versatile online bitrate adjustment strategy over fluctuating networks
- SPlatoon: Secure Platoon with Lightweight Authenticated Encryption
- Controller-aware Perception Neural Network Pruning for CPS Safety Optimization
- A Novel Post-Quantum Cryptography-Based Authentication and Secret Key Establishment Protocol for Smart Grid
- NeoARCADE: Robust Calibration for Distance Estimation to Support Assistive Drones for the Visually Impaired
- Efficient and Scalable Edge-Assisted Service Allocation for Connected Vehicles with Variable Velocities
- Sustainable Smart Farm Networks: A Decision Theory-Guided Deep Reinforcement Learning Approach
- Probabilistic Deadline Guarantees in capacity-constrained DTNs: Exact models, heavy-tailed asymptotics, and simulation validation
- DuetEdge: Orchestrating service delay and resource consumption for multi-ESP task offloading
- MULTI-IRS-ASSISTED NOMA SYSTEMS WITH IMPERFECT SIC FOR MULTI-USER COMMUNICATIONS: PERFORMANCE ANALYSIS AND DEEP LEARNING
- PVFL-CPN: A privacy-preserving vertical federated learning method for computing power networks
- Performance evaluation of peer-assisted MPEG-DASH streaming in multi-user mobile scenarios
- Minimal-feature Machine Learning for scalable AI-RAN under communication constraints
- CGCLGAT-APT: A network-oriented provenance-graph framework for APT detection via contrastive self-supervised learning
- 5G positioning: A comprehensive state-of-the-art review with taxonomy and future trends
- Trust-Aware Type-2 Fuzzy Reinforcement Learning for Adaptive Network Slice Orchestration in 6G-Enabled Industrial IoT
- Resilient SFC deployment in MEC: A dual approach with optimized redundancy and VNF splitting
- CacheABit: Cache-enhanced neural bitrate adaptation for video streaming on the edge
- Ergodic Rate Maximization and Joint Communication–Sensing Optimization in MIMO-OFDM ISAC Systems under Stochastic Multipath Fading
- A Hybrid Cross-Chain Interoperability and Layer 2 Protocol for Blockchain Network Scalability and Performance Optimization
- Cybersecurity risk assessment for aerospace-aviation networks using a Pythagorean fuzzy multi-criteria framework
- Fairness-aware and parallelized SFC placement with VNF sharing in MEC-enabled IoT networks
- Fairness-constrained uplink OFDMA optimization under saturated traffic in mixed IEEE 802.11ac/ax WLANs
- A lightweight certificateless revocable anonymous privacy-preserving authentication and key agreement protocol for mobile edge computing
- Novel networking structure for supporting user mobility in multi-access edge computing
- zk-HTLC: A formally verified defense against linkability attacks in trust-minimized cross-chain networks
- Protocol-aware SDN enforcement for trusted-path IEC-104 command abuse: Delivery-oriented evaluation in smart grid control networks
- Efficient attribute-based searchable encryption with forward security in cloud computing
- AI-enabled cooperative flow end-to-end surveillance framework in Internet of Multimedia Things (IoMulT) networks
- Feasibility-preserving coordinated task scheduling and virtual node placement for fog computing
- DFA-SAGE: A Dual-Fusion Aggregation Graph sampling and embedding model for enhanced intrusion detection
- Scalable modular digital twins for next-generation wireless networks: A spatial fusion framework
- Hybrid and Multimodal Underwater Communication Architectures for Subsea Operations: A Survey and Design Perspective
- Cross-domain resource orchestration for end-to-end network slicing: A bid-level truthful hierarchical auction approach
- Communication efficiency in Decentralized Federated Learning: A taxonomy of core components and optimization techniques
- A Triangular Hybrid FAHP-FTOPSIS and Contextual Bandit Dynamic Protocol Selection for V2I Communications
- Clutter-Aware Active-RIS-Assisted ISAC: A Joint Optimization Framework for Sensing and Communication
- Deep reinforcement learning-based congestion control for urban multi-hop vehicular networks
- Adaptive user pairing and resource allocation for the sum rate and fairness trade-off in D-OMA with DRL approach
- Dynamic relay selection for mobile autonomous underwater vehicle: A nonlinear kernel contextual multi-armed bandit learning approach
- CTDST: A cautious trust-based scheme for reliable data and service trading in MCS
- Lowering the cost of realism: Scalable formal verification of autonomous cyber defense via dynamic formal model switching
- An evaluation of zero-trust framework implementations for Industrial Internet of Things
- Edge-cloud-aware microservice decomposition and optimization for 5G Edge-cloud refactoring
- Active Sensing Based on 5G-NR Single-Numerology Filtered OFDM Signals
- FLBD: Enabling trustworthy and efficient Federated Learning for IIoT via Blockchain and Deep Reinforcement Learning
- Generative artificial intelligence for vehicular networks: A survey
- Split-aware learning for IoT intrusion detection under temporal domain shift
- Battery-aware and interference-free trajectory planning for multi-UAV IoT networks using federated reinforcement learning
- PaMTS: A priority-aware multi-objective task scheduling framework for fog computing environment
- SAGE: Sample-Aware Guarding Engine for robust intrusion detection against adversarial attacks
- Heuristic position occupation algorithm for real-time construction of closed barrier coverage in wireless low-altitude radar networks
- Covert Meteor-Burst Communications With Multiple Wardens: Detection Analysis and Beamforming Design
- Phase Transition and Goodput Collapse in UAV-Assisted Wireless Networks: Birth–Death Analysis With ITU-R Channel
- Artificial Noise-Aided Covert Communication for Polar-Coded OFDM Systems Over Frequency-Selective Fading Channels
- Phase-Aware Outage and Scaling Analysis of RIS-Assisted Communications Over κ–μ Fading
- FALCON: Flight-Aware Link Adaptation for A2G Communications
- SHAP-GSD: Temporal Multi-Granular Explanation Method for Graph Neural Networks in Network Intrusion Detection
- Complementary failure modes of SRAM-PUF and RF fingerprinting under compound thermal–distance stress in LoRaWAN sensor nodes: A device-level empirical study
- Editorial Board
- Personalizing head dynamic-based maneuver prediction by incremental learning
- Relation-enhanced anomaly detection via multi-view GNN
- Quantum-Safe UAV-Assisted Blockchain Authentication for Secure Vehicle Communications in ITS
- SSI-guard: A blockchain-based self-sovereign identity framework with machine learning-augmented authentication for smart city IoT
- A distributed closed-loop framework for channel congestion control in vehicular networks
- QPADL: Post-quantum private spectrum access with verified location and DoS resilience
- A secure model-lifecycle layer for federated and gossip learning in smart grid attack detection
- Federated learning: From design foundations to advanced participant selection paradigms
- AI-Driven Modulation Classification for Intelligent Covert Communication in Next-Generation Wireless Networks
- Learning-Aided Subspace Estimation for Pilot Decontamination in User-Centric Cell-Free mMIMO
- Physical Layer Security Performance Analysis of MIMOME Systems Over Keyhole Channels
- Federated Learning With Noisy and Imbalanced Data: A Contrastive Reliability-Based Framework for Long-Tail-Aware Client Selection
- Cost-aware adaptive defense against feature-space adversarial attacks in partitioned deep neural networks
