Mostafa Fouda

Orcid: 0000-0003-1790-8640

According to our database1, Mostafa Fouda authored at least 160 papers between 2009 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
A Lightweight Privacy-Preserving Load Forecasting and Monitoring Scheme Supporting Dynamic Billing for Smart Grids: No KDC Required.
IEEE Internet Things J., October, 2024

Blockchain, artificial intelligence, and healthcare: the tripod of future - a narrative review.
Artif. Intell. Rev., September, 2024

Smart Handover With Predicted User Behavior Using Convolutional Neural Networks for WiGig Systems.
IEEE Netw., July, 2024

Employing Machine Learning for Seismic Intensity Estimation Using a Single Station for Earthquake Early Warning.
Remote. Sens., June, 2024

Improved Artificial Rabbits Algorithm for Positioning Optimization and Energy Control in RIS Multiuser Wireless Communication Systems.
IEEE Internet Things J., June, 2024

Joint Self-Organizing Maps and Knowledge-Distillation-Based Communication-Efficient Federated Learning for Resource-Constrained UAV-IoT Systems.
IEEE Internet Things J., May, 2024

Artificial intelligence bias in medical system designs: a systematic review.
Multim. Tools Appl., February, 2024

Optimized Multi-User Dependent Tasks Offloading in Edge-Cloud Computing Using Refined Whale Optimization Algorithm.
IEEE Trans. Sustain. Comput., 2024

OTFS-Based Proactive Dynamic UAV Positioning for High-Speed Train Coverage.
IEEE Open J. Commun. Soc., 2024

Joint UAV Trajectory Planning and LEO-Sat Selection in SAGIN.
IEEE Open J. Commun. Soc., 2024

Placement Optimization and Power Management in a Multiuser Wireless Communication System With Reconfigurable Intelligent Surfaces.
IEEE Open J. Commun. Soc., 2024

RIS-Assisted Integrated Sensing and Communication Systems: Joint Reflection and Beamforming Design.
IEEE Open J. Commun. Soc., 2024

COVLIAS 3.0: cloud-based quantized hybrid UNet3+ deep learning for COVID-19 lesion detection in lung computed tomography.
Frontiers Artif. Intell., 2024

A Survey on Multi-AP Coordination Approaches Over Emerging WLANs: Future Directions and Open Challenges.
IEEE Commun. Surv. Tutorials, 2024

MultiNet 2.0: A lightweight attention-based deep learning network for stenosis measurement in carotid ultrasound scans and cardiovascular risk assessment.
Comput. Medical Imaging Graph., 2024

Underwater Target Detection Using Deep Learning: Methodologies, Challenges, Applications, and Future Evolution.
IEEE Access, 2024

Advancing Malaria Identification From Microscopic Blood Smears Using Hybrid Deep Learning Frameworks.
IEEE Access, 2024

Bandwidth Allocation and Power Control Optimization for Multi-UAVs Enabled 6G Network.
IEEE Access, 2024

Polyhedron Optimization for Power Allocation of Cell-Free Based IRS System.
IEEE Access, 2024

Combating Malware Traffic in Emerging Networks: A Collaborative Learning Approach.
Proceedings of the International Conference on Smart Applications, 2024

Optimizing VNF Migration in B5G Core Networks: A Machine Learning Approach.
Proceedings of the International Conference on Smart Applications, 2024

Optimizing Feature Panels for Effective Model Training Toward Early Diagnosis of Alzheimer's Disease.
Proceedings of the International Conference on Smart Applications, 2024

Short-Term Load Forecasting Employing Recurrent Neural Networks.
Proceedings of the International Conference on Smart Applications, 2024

A Robust Federated Learning Approach for Combating Attacks Against IoT Systems Under Non-IID Challenges.
Proceedings of the International Conference on Smart Applications, 2024

Securing Smart Grids: Deep Reinforcement Learning Approach for Detecting Cyber-Attacks.
Proceedings of the International Conference on Smart Applications, 2024

Short-Term Load Forecasting Using GRU-LGBM Fusion.
Proceedings of the International Conference on Smart Applications, 2024

Deep Learning-Based Throughput Prediction in 5G Cellular Networks.
Proceedings of the International Conference on Smart Applications, 2024

Enhancing Diabetes Prediction Based on Pair-Wise Ensemble Learning Model Selection.
Proceedings of the International Conference on Smart Applications, 2024

Privacy-preserving, Lightweight, and Decentralized Load Forecasting in Smart Grid AMI Networks.
Proceedings of the IEEE International Conference on Communications, 2024

Federated Learning With Selective Knowledge Distillation Over Bandwidth-constrained Wireless Networks.
Proceedings of the IEEE International Conference on Communications, 2024

Electricity Theft Detection Approach Using One-Class Classification for AMI.
Proceedings of the 21st IEEE Consumer Communications & Networking Conference, 2024

Robust Deep Learning-Based Secret Key Generation in Dynamic LiFi Networks Against Concept Drift.
Proceedings of the 21st IEEE Consumer Communications & Networking Conference, 2024

FedSafe-No KDC Needed: Decentralized Federated Learning with Enhanced Security and Efficiency.
Proceedings of the 21st IEEE Consumer Communications & Networking Conference, 2024

Secured Cluster-Based Electricity Theft Detectors Against Blackbox Evasion Attacks.
Proceedings of the 21st IEEE Consumer Communications & Networking Conference, 2024

Evasion Attacks in Smart Power Grids: A Deep Reinforcement Learning Approach.
Proceedings of the 21st IEEE Consumer Communications & Networking Conference, 2024

A Distillation-Based Attack Against Adversarial Training Defense for Smart Grid Federated Learning.
Proceedings of the 21st IEEE Consumer Communications & Networking Conference, 2024

2023
Lightweight Multi-Class Support Vector Machine-Based Medical Diagnosis System with Privacy Preservation.
Sensors, November, 2023

Enhanced multi-objective gorilla troops optimizer for real-time multi-user dependent tasks offloading in edge-cloud computing.
J. Netw. Comput. Appl., September, 2023

Prediction of O-6-methylguanine-DNA methyltransferase and overall survival of the patients suffering from glioblastoma using MRI-based hybrid radiomics signatures in machine and deep learning framework.
Neural Comput. Appl., June, 2023

On Softwarization of Intelligence in 6G Networks for Ultra-Fast Optimal Policy Selection: Challenges and Opportunities.
IEEE Netw., 2023

Dual objective bandit for best channel selection in hybrid band wireless systems.
J. Ambient Intell. Humaniz. Comput., 2023

Explainable Transfer Learning-Based Deep Learning Model for Pelvis Fracture Detection.
Int. J. Intell. Syst., 2023

Vehicles communications handover in 5G: A survey.
ICT Express, 2023

Utilization of mobile edge computing on the Internet of Medical Things: A survey.
ICT Express, 2023

UNet Deep Learning Architecture for Segmentation of Vascular and Non-Vascular Images: A Microscopic Look at UNet Components Buffered With Pruning, Explainable Artificial Intelligence, and Bias.
IEEE Access, 2023

Detection of Distributed Denial of Charge (DDoC) Attacks Using Deep Neural Networks With Vector Embedding.
IEEE Access, 2023

Optimization-Based Mitigation Techniques of the Temporary Overvoltage in Large Offshore Wind Farm.
IEEE Access, 2023

Short-Term Traffic Prediction Using Deep Learning Long Short-Term Memory: Taxonomy, Applications, Challenges, and Future Trends.
IEEE Access, 2023

Multimedia Security Using Encryption: A Survey.
IEEE Access, 2023

Efficient Compression of Fetal Phonocardiography Bio-Medical Signals for Internet of Healthcare Things.
IEEE Access, 2023

An Explainable AI System for Medical Image Segmentation With Preserved Local Resolution: Mammogram Tumor Segmentation.
IEEE Access, 2023

Survival-Based Treatment Planning Using Stage-Specific Machine Learning Models.
IEEE Access, 2023

Securing Images Using High Dimensional Chaotic Maps and DNA Encoding Techniques.
IEEE Access, 2023

Clustering and Ensemble Based Approach for Securing Electricity Theft Detectors Against Evasion Attacks.
IEEE Access, 2023

Countering Evasion Attacks for Smart Grid Reinforcement Learning-Based Detectors.
IEEE Access, 2023

Electricity Theft Detection Using Deep Reinforcement Learning in Smart Power Grids.
IEEE Access, 2023

Novel Evasion Attacks Against Adversarial Training Defense for Smart Grid Federated Learning.
IEEE Access, 2023

A Spectrum Injection-Based Approach for Malware Prevention in UHF RFID Systems.
IEEE Access, 2023

Toward Secured IoT-Based Smart Systems Using Machine Learning.
IEEE Access, 2023

Robust Deep Learning-based Indoor mmWave Channel Prediction Under Concept Drift.
Proceedings of the 98th IEEE Vehicular Technology Conference, 2023

Optimizing Reconfigurable Intelligent Surface-Assisted Integrated Sensing and Communication Systems.
Proceedings of the 2023 IEEE Virtual Conference on Communications (VCC), 2023

EMI Performance Analysis in IRS-Aided Multi-User Wireless Communication Systems.
Proceedings of the 2023 IEEE Virtual Conference on Communications (VCC), 2023

On Enhancing WiGig Communications With A UAV-Mounted RIS System: A Contextual Multi-Armed Bandit Approach.
Proceedings of the 34th IEEE Annual International Symposium on Personal, 2023

Communication-Efficient Federated Learning in Drone-Assisted IoT Networks: Path Planning and Enhanced Knowledge Distillation Techniques.
Proceedings of the 34th IEEE Annual International Symposium on Personal, 2023

PC-SSL: Peer-Coordinated Sequential Split Learning for Intelligent Traffic Analysis in mmWave 5G Networks.
Proceedings of the 34th IEEE Annual International Symposium on Personal, 2023

Advanced Learning Schemes for Metaverse Applications in B5G/6G Networks.
Proceedings of the IEEE International Conference on Metaverse Computing, 2023

Automated EEG Epileptic Seizure Detection Exploiting Continuous Morlet Wavelet Transform Scalograms and Hybrid Deep Learning Models.
Proceedings of the IEEE International Conference on Internet of Things and Intelligence Systems, 2023

Advancements and Challenges in AI Applications for Movement Disorders.
Proceedings of the IEEE International Conference on Internet of Things and Intelligence Systems, 2023

Communication-Efficient Privacy-Preserving Federated Learning via Knowledge Distillation for Human Activity Recognition Systems.
Proceedings of the IEEE International Conference on Communications, 2023

A Dual-Objective Bandit-Based Opportunistic Band Selection Strategy for Hybrid-Band V2X Metaverse Content Update.
Proceedings of the IEEE Global Communications Conference, 2023

Joint Knowledge Distillation and Local Differential Privacy for Communication-Efficient Federated Learning in Heterogeneous Systems.
Proceedings of the IEEE Global Communications Conference, 2023

Mammogram Tumor Segmentation with Preserved Local Resolution: An Explainable AI System.
Proceedings of the IEEE Global Communications Conference, 2023

Moreau Envelopes-Based Personalized Asynchronous Federated Learning: Improving Practicality in Network Edge Intelligence.
Proceedings of the IEEE Global Communications Conference, 2023

Benchmarking the User-Centric Clustering and Pilot Assignment Problems in Cell-Free Networks.
Proceedings of the IEEE Global Communications Conference, 2023

2022
Guest Editorial: Smart, Optimal, and Explainable Orchestration of Network Slices in 5G and Beyond Networks.
IEEE Wirel. Commun., 2022

Optimal Channel Selection in Hybrid RF/VLC Networks: A Multi-Armed Bandit Approach.
IEEE Trans. Veh. Technol., 2022

Employing Remote Sensing, Data Communication Networks, AI, and Optimization Methodologies in Seismology.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022

Multidata-Owner Searchable Encryption Scheme Over Medical Cloud Data With Efficient Access Control.
IEEE Syst. J., 2022

Optimizing Packet Forwarding Performance in Multiband Relay Networks via Customized Reinforcement Learning.
IEEE Open J. Commun. Soc., 2022

Reliability of Spectrum-Efficient Mixed Satellite-Underwater Systems.
IEEE Open J. Commun. Soc., 2022

Outage Analysis of Coordinated NOMA Transmission for LEO Satellite Constellations.
IEEE Open J. Commun. Soc., 2022

A Lightweight Hierarchical AI Model for UAV-Enabled Edge Computing with Forest-Fire Detection Use-Case.
IEEE Netw., 2022

Energy-Aware Hybrid RF-VLC Multiband Selection in D2D Communication: A Stochastic Multiarmed Bandit Approach.
IEEE Internet Things J., 2022

Detection of False-Reading Attacks in Smart Grid Net-Metering System.
IEEE Internet Things J., 2022

G2NetPL: Generic Game-Theoretic Network for Partial-Label Image Classification.
CoRR, 2022

A lightweight federated learning based privacy preserving B5G pandemic response network using unmanned aerial vehicles: A proof-of-concept.
Comput. Networks, 2022

An Optimal Balanced Energy Harvesting Algorithm for Maximizing Two-Way Relaying D2D Communication Data Rate.
IEEE Access, 2022

Deep Learning Models for Magnetic Cardiography Edge Sensors Implementing Noise Processing and Diagnostics.
IEEE Access, 2022

Deep Learning-Based Fault Classification and Location for Underground Power Cable of Nuclear Facilities.
IEEE Access, 2022

Seismic Hazard and Site Suitability Evaluation Based on Multicriteria Decision Analysis.
IEEE Access, 2022

Cost-Effective MAB Approaches for Reconfigurable Intelligent Surface Aided Millimeter Wave Relaying.
IEEE Access, 2022

Machine Learning Algorithms for COPD Patients Readmission Prediction: A Data Analytics Approach.
IEEE Access, 2022

LSTM-Autoencoder Deep Learning Technique for PAPR Reduction in Visible Light Communication.
IEEE Access, 2022

Energy Harvesting in Underwater Acoustic Wireless Sensor Networks: Design, Taxonomy, Applications, Challenges and Future Directions.
IEEE Access, 2022

Privacy Protection in Surveillance Videos Using Block Scrambling-Based Encryption and DCNN-Based Face Detection.
IEEE Access, 2022

An Efficient CNN Model to Detect Copy-Move Image Forgery.
IEEE Access, 2022

AI-Enabled UAV Communications: Challenges and Future Directions.
IEEE Access, 2022

RF Energy Harvesting Dependency for Power Optimized Two-Way Relaying D2D Communication.
Proceedings of the IEEE International Conference on Internet of Things and Intelligence Systems, 2022

Efficient Wireless Network Slicing in 5G Networks: An Asynchronous Federated Learning Approach.
Proceedings of the IEEE International Conference on Internet of Things and Intelligence Systems, 2022

An End-To-End Explainable AI System for Analyzing Breast Cancer Prediction Models.
Proceedings of the IEEE International Conference on Internet of Things and Intelligence Systems, 2022

Online Location-based Detection of False Data Injection Attacks in Smart Grid Using Deep Learning.
Proceedings of the IEEE International Conference on Internet of Things and Intelligence Systems, 2022

Toward Asynchronously Weight Updating Federated Learning for AI-on-Edge IoT Systems.
Proceedings of the IEEE International Conference on Internet of Things and Intelligence Systems, 2022

A Two-Step Machine Learning Model for Stage-Specific Disease Survivability Prediction.
Proceedings of the IEEE International Conference on Internet of Things and Intelligence Systems, 2022

Machine Learning Benchmarking for Secured IoT Smart Systems.
Proceedings of the IEEE International Conference on Internet of Things and Intelligence Systems, 2022

A Hybrid AI Model for Improving COVID-19 Sentiment Analysis in Social Networks.
Proceedings of the IEEE International Conference on Communications, 2022

On Improving Automated Detection of Cyber-Bully in Social Networks with Constrained Datasets: A Hierarchical Deep Learning Approach.
Proceedings of the IEEE International Conference on Communications, 2022

MED-GPVS: A Deep Learning-Based Joint Biomedical Image Classification and Visual Question Answering System for Precision e-Health.
Proceedings of the IEEE International Conference on Communications, 2022

Performance of Hybrid Satellite-UAV NOMA Systems.
Proceedings of the IEEE International Conference on Communications, 2022

Characterization of Secret Key Generation in 5G+ Indoor Mobile LiFi Networks.
Proceedings of the IEEE Global Communications Conference, 2022

Privacy-preserving and Efficient Decentralized Federated Learning-based Energy Theft Detector.
Proceedings of the IEEE Global Communications Conference, 2022

G2Net: Generic Game-Theoretic Network for Partial-Label Image Classification.
Proceedings of the 33rd British Machine Vision Conference 2022, 2022

2021
Sleeping Contextual/Non-Contextual Thompson Sampling MAB for mmWave D2D Two-Hop Relay Probing.
IEEE Trans. Veh. Technol., 2021

UV-CDS: An Energy-Efficient Scheduling of UAVs for Premises Sterilization.
IEEE Trans. Green Commun. Netw., 2021

Blind Watermarking of Color Medical Images Using Hadamard Transform and Fractional-Order Moments.
Sensors, 2021

A Deep Learning Method for Predictive Channel Assignment in Beyond 5G Networks.
IEEE Netw., 2021

An Efficient and Lightweight Predictive Channel Assignment Scheme for Multiband B5G-Enabled Massive IoT: A Deep Learning Approach.
IEEE Internet Things J., 2021

Efficient Privacy-Preserving Electricity Theft Detection With Dynamic Billing and Load Monitoring for AMI Networks.
IEEE Internet Things J., 2021

Privacy Preserving and Efficient Data Collection Scheme for AMI Networks Using Deep Learning.
IEEE Internet Things J., 2021

LiHEA: Migrating EEG Analytics to Ultra-Edge IoT Devices With Logic-in-Headbands.
IEEE Access, 2021

A Proof-of-Concept of Ultra-Edge Smart IoT Sensor: A Continuous and Lightweight Arrhythmia Monitoring Approach.
IEEE Access, 2021

A New Image Encryption Algorithm for Grey and Color Medical Images.
IEEE Access, 2021

New Color Image Zero-Watermarking Using Orthogonal Multi-Channel Fractional-Order Legendre-Fourier Moments.
IEEE Access, 2021

Robust Color Images Watermarking Using New Fractional-Order Exponent Moments.
IEEE Access, 2021

Asynchronous Federated Learning-based ECG Analysis for Arrhythmia Detection.
Proceedings of the IEEE International Mediterranean Conference on Communications and Networking, 2021

Countering Presence Privacy Attack in Efficient AMI Networks Using Interactive Deep-Learning.
Proceedings of the International Symposium on Networks, Computers and Communications, 2021

On Energy-Efficient UAV Route Scheduling to Offload Health Data from Under-Served Rural Communities.
Proceedings of the IEEE International Conference on Internet of Things and Intelligence Systems, 2021

A Circuit-embedded Reservoir Computer for Smart Noise Reduction of MCG Signals.
Proceedings of the IEEE International Conference on Internet of Things and Intelligence Systems, 2021

An Explainable AI Model for Interpretable Lung Disease Classification.
Proceedings of the IEEE International Conference on Internet of Things and Intelligence Systems, 2021

A Systematic Comparison of Traditional and Hybrid AI Models for NHANES Big Data Analytics.
Proceedings of the IEEE International Conference on Internet of Things and Intelligence Systems, 2021

On COVID-19 Prediction Using Asynchronous Federated Learning-Based Agile Radiograph Screening Booths.
Proceedings of the ICC 2021, 2021

Noise-Removal from Spectrally-Similar Signals Using Reservoir Computing for MCG Monitoring.
Proceedings of the ICC 2021, 2021

Wi-Fi Assisted Two-Hop Relay Probing in WiGig Device to Device Networks.
Proceedings of the ICC 2021, 2021

Improved UCB-based Energy-Efficient Channel Selection in Hybrid-Band Wireless Communication.
Proceedings of the IEEE Global Communications Conference, 2021

2020
Smart IoT Solutions for Combating the COVID-19 Pandemic.
IEEE Internet Things Mag., 2020

Detection of False-Reading Attacks in the AMI Net-Metering System.
CoRR, 2020

Detection of Lying Electrical Vehicles in Charging Coordination Application Using Deep Learning.
CoRR, 2020

Detection of Lying Electrical Vehicles in Charging Coordination Using Deep Learning.
IEEE Access, 2020

DL-CRC: Deep Learning-Based Chest Radiograph Classification for COVID-19 Detection: A Novel Approach.
IEEE Access, 2020

Resources Allocation in Underlay Device-to-Device Communications Networks: A Reduced-Constraints Approach.
IEEE Access, 2020

Smart Parking System With Privacy Preservation and Reputation Management Using Blockchain.
IEEE Access, 2020

MARLA-SG: Multi-Agent Reinforcement Learning Algorithm for Efficient Demand Response in Smart Grid.
IEEE Access, 2020

Migrating Intelligence from Cloud to Ultra-Edge Smart IoT Sensor Based on Deep Learning: An Arrhythmia Monitoring Use-Case.
Proceedings of the 16th International Wireless Communications and Mobile Computing Conference, 2020

PMBFE: Efficient and Privacy-Preserving Monitoring and Billing Using Functional Encryption for AMI Networks.
Proceedings of the 2020 International Symposium on Networks, Computers and Communications, 2020

A Rigorous Analysis of Biomedical Edge Computing: An Arrhythmia Classification Use-Case Leveraging Deep Learning.
Proceedings of the IEEE International Conference on Internet of Things and Intelligence System, 2020

Blockchain-based Authentication for 5G Networks.
Proceedings of the IEEE International Conference on Informatics, 2020

AI Aided Noise Processing of Spintronic Based IoT Sensor for Magnetocardiography Application.
Proceedings of the 2020 IEEE International Conference on Communications, 2020

Mimic Learning to Generate a Shareable Network Intrusion Detection Model.
Proceedings of the IEEE 17th Annual Consumer Communications & Networking Conference, 2020

Performance Analysis of Spectrum Sensing Thresholding Methods for Cognitive Radio Networks.
Proceedings of the International Conference on Advanced Intelligent Systems and Informatics, 2020

2017
Convolutional constellation mapping technique for PAPR reduction in filter bank multi-carrier.
Proceedings of the 2017 IEEE International Conference on Signal and Image Processing Applications, 2017

2015
Information integrity in smart grid systems.
Inf. Syst., 2015

2014
On Efficient Traffic Distribution for Disaster Area Communication Using Wireless Mesh Networks.
Wirel. Pers. Commun., 2014

Defending against wireless network intrusion.
J. Comput. Syst. Sci., 2014

2013
Intrusion detection system (IDS) for combating attacks against cognitive radio networks.
IEEE Netw., 2013

2012
A Novel P2P VoD Streaming Technique Integrating Localization and Congestion Awareness Strategies.
Mob. Networks Appl., 2012

A novel heuristic-based traffic distribution method for disaster zone Wireless Mesh Networks.
Proceedings of the 2012 1st IEEE International Conference on Communications in China (ICCC), 2012

A novel demand control policy for improving quality of power usage in smart grid.
Proceedings of the 2012 IEEE Global Communications Conference, 2012

2011
A Lightweight Message Authentication Scheme for Smart Grid Communications.
IEEE Trans. Smart Grid, 2011

An early warning system against malicious activities for smart grid communications.
IEEE Netw., 2011

Toward intelligent machine-to-machine communications in smart grid.
IEEE Commun. Mag., 2011

2009
On Supporting P2P-Based VoD Services over Mesh Overlay Networks.
Proceedings of the Global Communications Conference, 2009. GLOBECOM 2009, Honolulu, Hawaii, USA, 30 November, 2009


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