A Communication-efficient Federated Learning Approach for Intrusion Detection in IoT

A Design of High-Order APSK Constellations With PAPR Constraints for Single-Carrier BICM Systems

A Feature-aware Adaptive Ensemble Framework for IoT Intrusion Detection Systems

A Meta Learning Framework for Intrusion Detection in Connected Vehicles

A Multi-Agent Framework for Natural Language-Driven Network Simulation

A Novel Routing Protocol for MANET-Based Smart Indoor Environments

A RAG-assisted DRL Framework for Microservices Deployment in 6G vehicular Networks

A Reinforcement Learning Framework for Mobility Control of gNBs in Dynamic Radio Access Networks

A Rendez-Vous in Time: Frequency-Domain Precoding for LoS Alignment in Distributed MISO

A Scalable And Efficient Intrusion Detection System Based On A Shapley Value Driven Feature Selection

Adaptive Communication for Joint Trajectory and RRM in MADRL-Based UAV Networks

Adaptive Mobility Control in LoRaWAN via Reinforcement Learning

AI-Driven Optimisation for Mobile Behavioural Biometrics Continuous Authentication

An enhanced authentication solution for infrastructureless vehicle environments

An Indoor Experimental Testbed for 5G-Based UAV Control and Communication

Bridging the Gap: Integrating Heterogeneous Clinical Data into HL7 FHIR

Comparative Analysis of KNN, RNG and K-RNG for Inter-Robot Communication

Comparative Study of Packet Loss Models for Flooding Protocols in Dense Wireless Networks

Cooperative MEC-enabled HAPS and UAV-RIS Assisted Task Offloading in ITS Systems

Decentralized Oracles with Threshold Signatures: A Discrete Public Goods Game Model

Decentralized Tiny Ensemble Learning for Privacy-Preserving Compliance Prediction in Operating Room Environments

Design and Evaluation of an Orchestrated E2E Cloud-Native Mobile Network with O-RAN

Detecting Privacy Non-Compliance in Wearable Apps via Knowledge Graphs and LLMs

Dilated Causal CNNs for Energy Forecasting and Optimization in LoRaWAN Networks

Distributed Hierarchical Slack-reduction in Slicing for railways FRMCS

Distributed Resource Allocation and Application Deployment in Mesh Edge Networks

Distributed Task Offloading Using Federated Reinforcement Learning in VEC

Energy Budget Distribution in Mobile Edge Computing Applications

Enhanced Adversarial Domain Adaptation for Intrusion Detection Systems

Enhanced Detection of Intermittent Primary User Signals for Cognitive Radio-IoT Networks with Markov-Chain Modeled BPSK

Enhancing IoT Security: A Meta-Learning Approach to Adversarial Robustness

Enhancing UAV Communication Security through HSM-based Cryptographic Key Protection

Enhancing UAV Swarm Security through an RSSI-based Protocol for GNSS-Compromised Environments

Enhancing Vehicular Communication with Predictive Quality of Service: A Real-World Proof of Concept

Evaluating Bi-directional Connectionless BLE for Bike-to-Everything Wireless Communications

Expert Fusion with Meta-Adaptation for Signal Technology Recognition

Explainable Machine Learning for Environment-Aware Channel State Prediction in UAV-Based 6G Networks

Exploring Depression Severity During Lockdown Through Explainable AI

Fairness-Aware Secure Communication in ISAC Systems with STAR-RIS and RSMA

Federated Learning for Spectrum Sensing in THz Bands

Flow-Based Anomaly Intrusion Detection Systems using Recurrent Neural Networks

FlowPicClip: Improving Network Traffic Classification Using Language Supervision

ForensicsData: a Digital Forensics Dataset for Large Language Models

From Measurement to Materials: Cost-Aware Right-Sizing of Multi-Tier Edge Computing Infrastructures

Generative Explainability for Next-Generation Networks: LLM-Augmented XAI with Mutual Feature Interactions

Generative-AI based Health Management System for CKD Patients

Improving Trust and Detecting Malicious Data Sharing in SDN Data Plane Communications using Lightweight Deep Learning

Indoor Drone Propeller Speed Estimation Using Wi-Fi Channel State Information

Inferring CAF-1/p60 Expression from Hematoxylin and Eosin Stained Images in Oral Squamous Cell Carcinoma

Integrated UWB and LIDAR Assisted Localization and Navigation System for Automated Platooning

Integrating Ground Communication for Extended Drone Visual Line of Sight

Inverted BER Trends for Energy-Detected GRSM-MQAM Massive MIMO Downlink

IRS-Assisted DECT-2020 NR framework for Ensuring URLLC Constraints in Industrial IoT

Joint Optimization of Task Offloading and Multicast Transmission Scheduling in MEC Networks

Leveraging Packet Aggregation to Optimise QoS and Energy Trade-offs in 5G/6G Optical Fronthaul Networks

Lightweight Fine-Tuning of LLMs for Explainable Intrusion Detection in SDN

MAC-Layer Protocol for Ultra-Reliable Multi-Hop Communication in DECT-2020 NR IIoT Networks

Model-Agnostic Poisoning Attacks on Recommender Systems via PPO

Multi-party Consensus-based Blockchain for Chain of Custody in IoT Forensic Investigations

NA-AEKF: A NLOS-Aware Adaptive Extended Kalman Filter for robust indoor localization

ORCHID: Tessellation-Based Cylindrical Deployment Protocol for Energy-Efficient Coverage in Three-dimensional Wireless Sensor Networks

Privacy-Enhanced Secure Neighbor Discovery for Wireless Networks

ReLEaRN: Reinforcement Learning Enhanced Profitable Rebalancing in Payment Channel Networks

Robust Resource Allocation in RSMA-based STAR-RIS-aided HAP Communication Networks with Imperfect SIC

Secure Group Key Dissemination Protocol in Cooperative Vehicular Platooning

Secure Split and Classification Mechanism for LoRa Networks Against Active and Reactive Interference Attacks

Secure V2P Risk Prediction: A Decentralized Federated Deep Learning Approach

Securing Connected and Autonomous Vehicles with Sliding Window-based False Information Tracing

Security-Oriented Load Distribution in MQTTv5: A Token Bucket and Trust Evaluation Approach

SG-VAE: Explainable Semi-Generative Model for Attack Detection in IoT Healthcare Systems

SHOLO: Similarity-based Reduction Scheme for Efficient Data Transmission and Energy Saving in Multimedia Sensor Networks

SPARK: A Kripke-Based Formal Analysis of the SN-MPR Routing Protocol in Wireless Sensor Networks

SPARKS: A Serverless Protocol for Authentication and Resilient Key Sharing in UAV Networks

Stability-Driven Quantization-Aware Training for Low-Bit Models

Stochastic Connected k-Coverage in Planar Wireless Sensor Networks Using Optimal Hexagonal Tessellation

Subcarrier and Resource Allocation in Aerial Intelligent Reflecting Surface-Assisted Wireless Networks

TCHIA-FedPer: An Edge Online Federated Learning and IoT Based for High Precision Smart Agriculture

Telemedicine for the Management of Nasal Obstruction: An Innovative Approach to Remote Monitoring

Towards Better-Calibrated ML Models for Reliable Network Intrusion Detection via Calibration-Aware SHAP-Based Feature Selection

Towards Secure and Transparent Cloud Auditing: A Blockchain and IPFS-Driven Framework with Batch Verification

Understanding What Federated Learning Models Learn: a Comparative Study with Traditional Models

Unseen Attacks Identification in Intrusion Systems Using BERT and Logit Normalization

WiFiQnA: a WiFi Dataset for Large Language Models

XFL-Q: Communication-Efficient Federated Learning with Layer-wise Quantization for IoT

Your Health in the Mirror: A Critical Analysis of Health and Well-being Monitoring by Smart Mirrors

Zero-day GPS Attack Detection and Classification in UAV Networks