PMBFE: Efficient and Privacy-Preserving Monitoring and Billing Using Functional Encryption for AMI Networks. - Mohamed I. Ibrahem; Mahmoud M. Badr; Mostafa M. Fouda; Mohamed Mahmoud 001; Waleed Alasmary; Zubair Md Fadlullah (ISNCC, 2020)

Detection of False-Reading Attacks in the AMI Net-Metering System. - Mahmoud M. Badr; Mohamed I. Ibrahem; Mohamed Mahmoud 001; Mostafa M. Fouda; Waleed Alasmary (CoRR, 2020)

UBLS: User-Based Location Selection Scheme for Preserving Location Privacy. - Muneera Alotaibi; Mohamed I. Ibrahem; Waleed Alasmary; Dawood Al-Abri; Mohamed Mahmoud 001 (ICC Workshops, 2021)

Detecting Electricity Fraud in the Net-Metering System Using Deep Learning. - Mahmoud M. Badr; Mohamed I. Ibrahem; Mohamed Baza; Mohamed Mahmoud 001; Waleed Alasmary (ISNCC, 2021)

Detecting Electricity Theft Cyber-attacks in CAT AMI System Using Machine Learning. - Mohamed I. Ibrahem; Sherif Abdelfattah; Mohamed Mahmoud 001; Waleed Alasmary (ISNCC, 2021)

Countering Presence Privacy Attack in Efficient AMI Networks Using Interactive Deep-Learning. - Mohamed I. Ibrahem; Mahmoud M. Badr; Mohamed Mahmoud 001; Mostafa M. Fouda; Waleed Alasmary (ISNCC, 2021)

Privacy Preserving and Efficient Data Collection Scheme for AMI Networks Using Deep Learning. - Mohamed I. Ibrahem; Mohamed Mahmoud 001; Mostafa M. Fouda; Fawaz Alsolami 001; Waleed Alasmary; Xuemin Shen (IEEE Internet Things J., 2021)

Efficient Privacy-Preserving Electricity Theft Detection With Dynamic Billing and Load Monitoring for AMI Networks. - Mohamed I. Ibrahem; Mahmoud Nabil 001; Mostafa M. Fouda; Mohamed M. E. A. Mahmoud; Waleed Alasmary; Fawaz Alsolami 001 (IEEE Internet Things J., 2021)

Privacy-preserving and Efficient Decentralized Federated Learning-based Energy Theft Detector. - Mohamed I. Ibrahem; Mohamed Mahmoud 001; Mostafa M. Fouda; Basem M. ElHalawany; Waleed Alasmary (GLOBECOM, 2022)

Real-Time Detection of False Readings in Smart Grid AMI Using Deep and Ensemble Learning. - Mohammed J. Abdulaal; Mohamed I. Ibrahem; Mohamed M. E. A. Mahmoud; Junaid Khalid; Abdulah Jeza Aljohani; Ahmad H. Milyani; Abdullah M. Abusorrah (IEEE Access, 2022)

Detection of False-Reading Attacks in Smart Grid Net-Metering System. - Mahmoud M. Badr; Mohamed I. Ibrahem; Mohamed Mahmoud 001; Mostafa M. Fouda; Fawaz Alsolami 001; Waleed Alasmary (IEEE Internet Things J., 2022)

Electricity-Theft Detection for Change-and-Transmit Advanced Metering Infrastructure. - Mohamed I. Ibrahem; Mohamed M. E. A. Mahmoud; Fawaz Alsolami 001; Waleed Alasmary; Abdullah Saad Al-Malaise Al-Ghamdi; Xuemin Shen (IEEE Internet Things J., 2022)

Moreau Envelopes-Based Personalized Asynchronous Federated Learning: Improving Practicality in Network Edge Intelligence. - Anwar Asad; Mostafa M. Fouda; Zubair Md Fadlullah; Mohamed I. Ibrahem; Nidal Nasser (GLOBECOM, 2023)

Secure and Efficient Federated Learning in LEO Constellations Using Decentralized Key Generation and On-Orbit Model Aggregation. - Mohamed Elmahallawy; Tie Luo 001; Mohamed I. Ibrahem (GLOBECOM, 2023)

Joint Knowledge Distillation and Local Differential Privacy for Communication-Efficient Federated Learning in Heterogeneous Systems. - Gad Gad; Zubair Md Fadlullah; Mostafa M. Fouda; Mohamed I. Ibrahem; Nidal Nasser (GLOBECOM, 2023)

Privacy-Preserving Detection of Power Theft in Smart Grid Change and Transmit (CAT) Advanced Metering Infrastructure. - Mohammed J. Abdulaal; Mohamed M. E. A. Mahmoud; Saheed A. Bello; Junaid Khalid; Abdulah Jeza Aljohani; Ahmad H. Milyani; Abdullah M. Abusorrah; Mohamed I. Ibrahem (IEEE Access, 2023)

Detection of Distributed Denial of Charge (DDoC) Attacks Using Deep Neural Networks With Vector Embedding. - Ahmed A. Shafee; Mohamed M. E. A. Mahmoud; Gautam Srivastava 001; Mostafa M. Fouda; Maazen Alsabaan; Mohamed I. Ibrahem (IEEE Access, 2023)

Privacy-Preserving and Communication-Efficient Energy Prediction Scheme Based on Federated Learning for Smart Grids. - Mahmoud M. Badr; Mohamed M. E. A. Mahmoud; Yuguang Fang; Mohammed J. Abdulaal; Abdulah Jeza Aljohani; Waleed Alasmary; Mohamed I. Ibrahem (IEEE Internet Things J., 2023)

Enhancing Security in ZigBee Wireless Sensor Networks: A New Approach and Mutual Authentication Scheme for D2D Communication. - Alaa M. Allakany; Abeer Saber; Samih Mohemmed Mostafa; Maazen Alsabaan; Mohamed I. Ibrahem; Haitham Elwahsh (Sensors, 2023)

Real-Time Anomaly Detection for Water Quality Sensor Monitoring Based on Multivariate Deep Learning Technique. - Engy A. El-Shafeiy; Maazen Alsabaan; Mohamed I. Ibrahem; Haitham Elwahsh (Sensors, 2023)

Demand Response in Smart Grids: Challenges, Solutions, and Security Implications. - Hussien AbdelRaouf; Ryker Gogolkiewicz; Nathaniel Kim; Nicholas McCaughan; Joel Alanes; Ali Nadhaif; Mostafa M. Fouda; Mohamed I. Ibrahem (AIBThings, 2024)

Exploring Advanced Techniques for Identifying Electricity Theft in Smart Grid Systems. - Hussien AbdelRaouf; Mohamed I. Ibrahem (AIBThings, 2024)

Privacy Preservation Techniques in Smart Grids: Balancing Security and Utility in IoT-Driven Environments. - Hussien AbdelRaouf; Michael Long; Paul Tran; Luna Baral; Zuha Khan; Mohamed Mahmoud 001; Mostafa M. Fouda; Mohamed I. Ibrahem (AIBThings, 2024)

A Survey on the Landscape of Machine Learning Solutions for Detecting Phishing Attacks. - Shijon Das; Mohamed I. Ibrahem; Mostafa M. Fouda (AIBThings, 2024)

Unraveling Model Inversion Attacks: A Survey of Machine Learning Vulnerabilities. - Tanzim Mostafa; Mohamed I. Ibrahem; Mostafa M. Fouda (AIBThings, 2024)

FedSafe-No KDC Needed: Decentralized Federated Learning with Enhanced Security and Efficiency. - Mohamed I. Ibrahem; Mostafa M. Fouda; Zubair Md Fadlullah (CCNC, 2024)

Federated Learning With Selective Knowledge Distillation Over Bandwidth-constrained Wireless Networks. - Gad Gad; Zubair Md Fadlullah; Mostafa M. Fouda; Mohamed I. Ibrahem; Nei Kato (ICC, 2024)

Privacy-preserving, Lightweight, and Decentralized Load Forecasting in Smart Grid AMI Networks. - Mohamed I. Ibrahem; Hussien AbdelRaouf; Ahmad Alsharif; Mostafa M. Fouda; Zubair Md Fadlullah; Ahmed Aleroud (ICC, 2024)

Poisoning Attack Mitigation for Privacy-Preserving Federated Learning-Based Energy Theft Detection. - Mahmoud Srewa; Michaela F. Winfree; Mohamed I. Ibrahem; Mahmoud Nabil 001; Rongxing Lu; Ahmad Alsharif (ICC, 2024)

An Innovative Approach for Human Activity Recognition Based on a Multi-Head Attention Mechanism. - Hussien AbdelRaouf; Mahmoud Abouyoussef; Mohamed I. Ibrahem (ICMLA, 2024)

Enhancing Diabetes Prediction Based on Pair-Wise Ensemble Learning Model Selection. - Ahmed F. Ashour; Mostafa M. Fouda; Zubair Md Fadlullah; Mohamed I. Ibrahem (SmartNets, 2024)

Securing Smart Grids: Deep Reinforcement Learning Approach for Detecting Cyber-Attacks. - Ahmed T. El-Toukhy; Islam Elgarhy; Mahmoud M. Badr; Mohamed Mahmoud 001; Mostafa M. Fouda; Mohamed I. Ibrahem; Fathi Amsaad 001 (SmartNets, 2024)

A Trojan Attack Against Smart Grid Federated Learning and Countermeasures. - Atef H. Bondok; Mahmoud M. Badr; Mohamed M. E. A. Mahmoud; Ahmed T. El-Toukhy; Maazen Alsabaan; Fathi H. Amsaad 001; Mohamed I. Ibrahem (IEEE Access, 2024)

ZT-RIC:A Zero Trust RIC Framework for ensuring data Privacy and Confidentiality in Open RAN. - Diana Lin; Samarth Bhargav 002; Azuka J. Chiejina; Mohamed I. Ibrahem; Vijay K. Shah (CoRR, 2024)

Deep Complex Gated Recurrent Networks-Based IoT Network Intrusion Detection Systems. - Engy A. El-Shafeiy; Walaa M. Elsayed; Haitham Elwahsh; Maazen Alsabaan; Mohamed I. Ibrahem; Gamal Farouk Elhady (Sensors, 2024)

The Potential of Deep Learning in Underwater Wireless Sensor Networks and Noise Canceling for the Effective Monitoring of Aquatic Life. - Walaa M. Elsayed; Maazen Alsabaan; Mohamed I. Ibrahem; Engy A. El-Shafeiy (Sensors, 2024)

Securing Smart Grid False Data Detectors Against White-Box Evasion Attacks Without Sacrificing Accuracy. - Islam Elgarhy; Mahmoud M. Badr; Mohamed M. E. A. Mahmoud; Mahmoud Nabil Mahmoud; Maazen Alsabaan; Mohamed I. Ibrahem (IEEE Internet Things J., 2024)

A Lightweight Privacy-Preserving Load Forecasting and Monitoring Scheme Supporting Dynamic Billing for Smart Grids: No KDC Required. - Mohamed I. Ibrahem; Mostafa M. Fouda (IEEE Internet Things J., 2024)

Advanced 3D Face Reconstruction from Single 2D Images Using Enhanced Adversarial Neural Networks and Graph Neural Networks. - Mohamed Fathallah; Sherif El-Etriby; Maazen Alsabaan; Mohamed I. Ibrahem; Gamal Farok (Sensors, 2024)

ZT-RIC: A Zero Trust RIC Framework for Ensuring Data Privacy and Confidentiality in Open RAN. - Diana Lin; Samarth Bhargav 002; Azuka J. Chiejina; Mohamed I. Ibrahem; Vijay K. Shah (CCNC, 2025)

Adversary-Resilient Clustered Federated Learning for Secure AI-Driven Healthcare Data Analytics. - Abdullah Melhem; Ahmed Aleroud; Abdullah Al-mamun; George Karabatis; Mohamed I. Ibrahem (IWCMC, 2025)

Explainable Artificial Intelligence in Malignant Lymphoma Classification: Optimized DenseNet121 Deep Learning Approach With Particle Swarm Optimization and Genetic Algorithm. - Haitham Elwahsh; Ali Bakhiet; Omar Ibrahim Alirr; Tarek Khalifa; Maazen Alsabaan; Mohamed I. Ibrahem; Engy A. El-Shafeiy (IEEE Access, 2025)

Revolutionizing User Authentication Exploiting Explainable AI and CTGAN-Based Keystroke Dynamics. - Hussien AbdelRaouf; Mostafa M. Fouda; Mohamed I. Ibrahem (IEEE Open J. Comput. Soc., 2025)

BOL-LPP: A Bayesian-Optimized LSTM Model for Day-Ahead Load Price Forecasting in the ERCOT Market. - Yomna Mohamed; Mostafa M. Fouda; Zubair Md Fadlullah; Rabab Abdelfattah; Mohamed I. Ibrahem (IEEE Open J. Comput. Soc., 2025)

REDUS: Adaptive Resampling for Efficient Deep Learning in Centralized and Federated IoT Networks. - Eyad Gad; Gad Gad; Mostafa M. Fouda; Mohamed I. Ibrahem; Muhammad Ismail 001; Zubair Md Fadlullah (CoRR, 2025)

Privacy-Preserving Data-Driven Learning Models for Emerging Communication Networks: A Comprehensive Survey. - Mostafa M. Fouda; Zubair Md Fadlullah; Mohamed I. Ibrahem; Nei Kato (IEEE Commun. Surv. Tutorials, 2025)

Bayesian Optimization-Aided Hybrid Deep Learning Model for Lightweight UAV-Based Smoke Detection. - Rabab Abdelfattah; Kareem Abdelfatah; Mostafa M. Fouda; Zubair Md Fadlullah; Mahmoud Abouyoussef; Mohamed I. Ibrahem (IEEE Internet Things J., 2025)