- A novel hybrid Particle Swarm Optimization for 3D deployment plan of UAV base stations in post-disaster scenarios
- When BERT meets BLOCK: A pre-training and fine-tuning malicious encrypted traffic detection method based on protocol semantic units
- Achieving accurate and stateless multicast with customized hash function in data center
- A systematic evaluation of Deep Reinforcement Learning for adaptive NDN forwarding: A gym-based comparative study
- DRL-enabled VLC-based V2X Communication for Platooning in Diverse Environments
- A Bayesian optimization framework for optimizing sliding window RLNC
- An energy-efficient spike-driven wireless federated learning framework for non-IID data
- QRoute: A QoE-aware route planning system for enhancing in-vehicle video streaming
- IMDM-PC: Incremental Multi-Scale Decomposition–Mixing with Physics Consistency for LLM-based ADS-B trajectory anomaly detection
- LITMUS: A lightweight collaborative intrusion detection system for host oriented mimicry attack detection in Industrial Internet of Things networks with dishonest collaborators in the majority
- Auction-Driven Utility Maximization for Multiple Federated Learning in Smart Healthcare
- A Situation-Based Adaptive Defense Framework For IIoT Using Hierarchical Multi-Agent Reinforcement Learning
- HALO: Fault-Tolerant Safety Architecture for High-Speed Autonomous Racing
- Base Station Energy-Aware UAV Data Collection with Combined Single-Hop and Double-Hop Communication in Ad Hoc Networks
- Deep reinforcement learning-based task offloading and resource allocation in space–air–ground integrated IoT networks
- Systematic review on privacy-preserving architectures for IoT and vehicular data sharing: Techniques, challenges, and future directions
- UAV-V2X communications in 6G era: Intelligent networking architecture, applications, security and future directions
- Attention-driven multi-UAV cooperative trajectory control for covert data collection: A multi-agent twin delayed deep deterministic policy gradient approach
- Evaluating and mitigating network covert channels in diverse traffic contexts
- Secure and energy efficient beamforming optimization for MISO ISAC networks
- Efficient computation offloading and hybrid caching update scheme for vehicular edge computing networks
- MsFE-MLP: A Multi-Scale Feature Enhancement Method for Network Security Situation Prediction Based on Multi-Layer perceptron
- Priv-FedTL: Privacy-preserving federated transfer learning for resource constrained devices
- Semantic attack detection in Cooperative Intelligent Transport Systems
- VACA: A Variance-Aware Congestion Avoidance framework for heterogeneous delay tolerant networks
- Node coverage enhancement strategy for underwater wireless sensor network considering acoustic attenuation
- FINE-STACK: Flexible architecture for low-power lossy IoT Networks with programmablE network STACK and semantic runtime updates
- Congestion-Context-Aware Spatiotemporal Detection of Malicious Flooding in Vehicular Communication Networks
- Editorial Board
- End-to-end latency assurance for distributed augmented reality over programmable 6G networks: A DESIRE6G demonstration
- P4Prime: Deterministic runtime consistency and loop verification with faulty switch localization in programmable SDNs
- Agentic AI Security in 6G Networks: A Survey of Emerging Attack Vectors, Vulnerabilities, and Defenses
- Communication-Aware Energy Trading Framework for Electric Vehicle Platoons: An Integrated Cross-Layer Approach
- Joint optimization of convergecast and broadcast with reconfiguration for energy dissipation minimization in networked sensing
- Editorial Board
- Fairness-oriented multi-UAV task offloading with trajectory decision via deep reinforcement learning
- Editorial Board
- ZK-enabled blockchain framework with federated learning: A trust management methodology for the SIoT
- Intent-Based Networking Using LLM-Driven Agentic Reinforcement Learning for Zero-Touch 5G/6G and IoT Systems
- DETER: Graph-based meta-learning for deterministic TSCH scheduling in industrial IoT
- DTN-SHIELD: A software-defined federated learning framework for blackhole attack defense in delay-tolerant networks
- A Scalable Cryptographic Privacy-Preserving Authentication System for Healthcare Applications
- A Speed-Adaptive Handover Decision Algorithm for Ultra-Dense Heterogeneous Wireless Networks
- ESAFL: Security-Enhanced Asynchronous Federated Learning for the Internet of Vehicles with Rapid Handover Authentication
- Intersection-Based Routing with Spectrum Awareness for Cognitive Internet of Vehicles
- SKY-Chunks: A Session-Key-Guided Chunking System for Lightweight and Secure LoRaWAN Image Delivery
- Breaking the participation dilemma in decentralized federated learning: A multi-agent repeated game mechanism for edge networks
- LiteKD: A lightweight knowledge-distillation deep learning framework for intrusion detection in IoT networks
- Spatiotemporal fusion perception and intelligent data orchestration in computing power networks
- Adaptive Time-Varying Double Threshold Energy Detection and its performance evaluation system in cognitive Low Power Wide Area Networks
- A Comprehensive Survey and Taxonomy of Workload Forecasting Techniques in Cloud Computing
- Joint association, deployment, and services placement optimization for heterogeneous multi-UAV cooperative MMEC
- A lightweight dual-server aggregation federated learning framework with malicious client identification
- Scanning the Issue
- IEEE INTELLIGENT TRANSPORTATION SYSTEMS SOCIETY
- IEEE Intelligent Transportation Systems Society Information
- Table of Contents
- Improving Data Delivery in WSNs: A Fuzzy Logic and Genetic Algorithm Approach to enhance Energy Efficiency and Reliability
- CVaR-Constrained Optimization for Risk-Aware Dynamic Resource Allocation in 5G RAN Slicing
- FR3 OFDM Multistatic ISAC Geometry-Aware Multi-Link Fusion and CRLB-Guided Design
- ComSoc Publications
- Cover 2
- TechRxiv
- Tools of the Modern Historian
- A Look Back
- 2026 Conference Calendar
- Global Communications Newsletter
- Series Editorial: Mobile Communications and Networks
- IEEE ComSoc Publications
- Table of Contents
- ComSoc Open Journal
- Cover 3
- IEEE Access
- Advertisers Index
- ComSoc CTN
- Front cover
- Cover 4
- ComSoc Education
- Remcom
- From Vision to Design Targets: Technical Performance Requirements for IMT-2030
- A Cluster-based Resource Allocation System for Mobility Load Balancing in Self-Organizing Networks
- Cross-network transferability of AI-based network intrusion detection systems in heterogeneous Internet of Things environments
- DCT-MARL: Dynamic communication topology adaptation for cooperative vehicle platooning under non-ideal V2V communications
- A Federated Learning-Based Hybrid Architecture for Multi-Class Attack Detection in UAVs Communications
- EROIKA: Enhanced Recognition of Intrusion Key Actors—A Multi-Stage Botnet Detection Framework With Conditional Autoencoder and Communication Pattern Analysis
- Angle Generation and Channel Estimation via Classifiers-Guided Conditional GANs
- Mitigating Ephemeris Uncertainty in LEO Geolocation: An Uncertainty-Aware Weighted Least Squares Method via Dual-Satellite Cumulative TDOA/FDOA Fusion
- ZORAN-Sec: A Zero Trust–Compliant Intrusion Detection Framework for Open RAN With a Lightweight Transformer
- IoT-enabled 5G and beyond networks: A forward security vision thanks to artificial intelligence
- Structural Multi-Optimality in Edge Server Placement for MEC Networks
- A Joint power and subchannel allocation scheme for adaptive NOMA-aided D2D communications
- SIG: Enabling deterministic networking for Holographic-Type Communication with FPGA-enhanced programmable switches
- Thermal-aware computation offloading in UAV-assisted vehicular networks via dual-layer wavelet-enhanced deep reinforcement learning
- Diffusion-enhanced intrusion detection method for imbalanced network traffic
- Next-generation secure and Adaptive Evolutionary Encryption for DNS-over-HTTPS, DNS-over-TLS, and DNS-over-QUIC
- PSODS-FU: Particle swarm optimization and dynamic scoring-driven federated unlearning framework for IoV
- TrustFed-IDS: A trust-aware federated hybrid MLP-LSTM framework for robust intrusion detection in wireless sensor networks
- Editorial Board
- Fine-grained network traffic classification with hybrid retrieval and LLM re-ranking
- AI-powered conflict management in Open RAN: Detection, classification, and mitigation
