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ORCIDMohamed I. Ibrahem
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2020 – today
- 2026
[j31]Pratik Pandurang Kharat
, Sufian Al Majmaie, Ghazal Ghajari, Fathi H. Amsaad, Mohamed I. Ibrahem:
A Secure and Robust ML Framework for Sequence Classification and Adversarial Evaluation in a Bilateral Carpal Tunnel Syndrome Crossover Dataset. Inf. 17(3): 293 (2026)- [j30]Abdullah Melhem, Ahmed Aleroud, Abdullah Al-Mamun, Mohamed I. Ibrahem:
Clustered Federated Learning for Healthcare Analytics: A Dual Blockchain-Functional Encryption Method for Fortified Aggregation. IEEE Internet Things J. 13(8): 15959-15975 (2026) - [j29]Iqra Batool, Mostafa M. Fouda, Mohamed I. Ibrahem, Zubair Md Fadlullah:
Privacy-Preserving Federated Meta-Learning for Cell-Free Massive MIMO: Instant Adaptation With Distributed Intelligence. IEEE Internet Things J. 13(8): 17465-17481 (2026) - [j28]Hussien AbdelRaouf, Quazi Rian Hasnaine, Mostafa M. Fouda, Zubair Md Fadlullah, Mohamed I. Ibrahem:
Paradigm Shift Toward Distributed Learning in IoT Intelligence: A Comprehensive Survey of Opportunities and Challenges. IEEE Internet Things J. 13(10): 20128-20154 (2026) - [j27]Iqra Batool, Mostafa M. Fouda, Muhammad Ismail, Mohamed I. Ibrahem, Zubair Md Fadlullah, Nei Kato:
Quantum-Enhanced Massive MIMO Beamforming for 6G IoT Networks: A QAOA-Based Optimization Framework. IEEE Open J. Commun. Soc. 7: 222-238 (2026) - [j26]Hussien AbdelRaouf, Mahmoud Abouyoussef, Mostafa Fouda, Zubair Md Fadlullah, Mohamed I. Ibrahem, Rongxing Lu:
Privacy-Aware Blockchain Approach for Efficient and Secure E-Health Applications. IEEE Trans. Netw. Sci. Eng. 13: 8628-8645 (2026) - [c34]Omair Ahmad, Mostafa M. Fouda, Mohamed I. Ibrahem, Zubair Md Fadlullah:
PR-EML: Physics-Respecting and Explainable Machine Learning for Proactive Multi-Band Adaptation in UAV-V2X Networks. WCNC 2026: 1-6 - 2025
- [j25]Haitham Elwahsh, Ali Bakhiet, Omar Ibrahim Alirr, Tarek Khalifa, Maazen Alsabaan, Mohamed I. Ibrahem, Engy A. El-Shafeiy:
Explainable Artificial Intelligence in Malignant Lymphoma Classification: Optimized DenseNet121 Deep Learning Approach With Particle Swarm Optimization and Genetic Algorithm. IEEE Access 13: 98639-98655 (2025) - [j24]Mostafa M. Fouda, Zubair Md Fadlullah, Mohamed I. Ibrahem, Nei Kato:
Privacy-Preserving Data-Driven Learning Models for Emerging Communication Networks: A Comprehensive Survey. IEEE Commun. Surv. Tutorials 27(4): 2505-2542 (2025) - [j23]Rabab Abdelfattah, Kareem Abdelfatah, Mostafa M. Fouda, Zubair Md Fadlullah, Mahmoud Abouyoussef, Mohamed I. Ibrahem:
Bayesian Optimization-Aided Hybrid Deep Learning Model for Lightweight UAV-Based Smoke Detection. IEEE Internet Things J. 12(16): 33506-33519 (2025) - [j22]Hussien AbdelRaouf, Mahmoud Abouyoussef, Mohamed I. Ibrahem:
Leveraging Multihead Attention and Counterfactual Explanations for Precise and Efficient Activity Recognition and Heart Attack Detection. IEEE Internet Things J. 12(18): 37388-37405 (2025) - [j21]Iqra Batool, Mostafa M. Fouda, Muhammad Ismail, Mohamed I. Ibrahem, Khaled M. Rabie, Shikhar Verma, Zubair Md Fadlullah:
Joint Optimization of IRS and THz Resource Allocation in 6G IoT Networks: An Adaptive Online MADDPG Approach. IEEE Internet Things J. 12(22): 47118-47134 (2025) - [j20]Hussien AbdelRaouf, Mahmoud Abouyoussef, Mostafa M. Fouda, Mohamed I. Ibrahem:
Empowering AI-Driven Healthcare With Secure, Decentralized, and Privacy-Enhancing Adaptive Intelligence. IEEE Internet Things J. 12(22): 47223-47240 (2025) - [j19]Hussien AbdelRaouf, Mostafa M. Fouda, Mohamed I. Ibrahem:
Revolutionizing User Authentication Exploiting Explainable AI and CTGAN-Based Keystroke Dynamics. IEEE Open J. Comput. Soc. 6: 97-108 (2025) - [j18]Yomna Mohamed, Mostafa M. Fouda, Zubair Md Fadlullah, Rabab Abdelfattah, Mohamed I. Ibrahem:
BOL-LPP: A Bayesian-Optimized LSTM Model for Day-Ahead Load Price Forecasting in the ERCOT Market. IEEE Open J. Comput. Soc. 6: 1001-1011 (2025) - [j17]Haitham Elwahsh, Ali Bakhiet, Tarek Khalifa, Julian Hoxha, Maazen Alsabaan, Mohamed I. Ibrahem, Mahmoud Elwahsh, Engy A. El-Shafeiy:
Hyperparameter optimization of XGBoost and hybrid CnnSVM for cyber threat detection using modified Harris hawks algorithm. PeerJ Comput. Sci. 11: e3169 (2025) - [c33]Diana Lin, Samarth Bhargav, Azuka J. Chiejina, Mohamed I. Ibrahem, Vijay K. Shah:
ZT-RIC: A Zero Trust RIC Framework for Ensuring Data Privacy and Confidentiality in Open RAN. CCNC 2025: 1-7 - [c32]Hussien AbdelRaouf, Mahmoud Abouyoussef, Mohamed I. Ibrahem:
A Novel Secure and Efficient Approach for Heart Attack Detection with Unlinkability and Anonymity. GLOBECOM 2025: 6298-6303 - [c31]Eyad Gad, Gad Gad, Mostafa M. Fouda, Mohamed I. Ibrahem, Muhammad Ismail, Zubair Md Fadlullah:
REDUS: Adaptive Resampling for Efficient Deep Learning in Centralized and Federated IoT Networks. ICC 2025: 2967-2972 - [c30]Iqra Batool, Mostafa M. Fouda, Mohamed I. Ibrahem, Muhammad Ismail, Zubair Md Fadlullah:
Adaptive Resource Allocation in Emerging High-mobility Networks Using Hybrid Deep Learning Models. ICC 2025: 3503-3508 - [c29]Hussien AbdelRaouf, Mahmoud Abouyoussef, Mostafa M. Fouda, Zubair Md Fadlullah, Mohamed I. Ibrahem:
Towards Decentralized, Secure, and Efficient Adaptive Learning for Robust Healthcare Monitoring. ICC 2025: 5469-5474 - [c28]Abdullah Al-Mamun, Dongfang Zhao, Gagan Agrawal, Ahmed Aleroud, Mohamed I. Ibrahem:
ZTP: A Scalable and Lightweight Privacy-Preserving Blockchain via Scale-Free Quorums and Geometric Fragmentation. ICPP 2025: 490-499 - [c27]Abdullah Melhem, Ahmed Aleroud, Abdullah Al-Mamun, George Karabatis, Mohamed I. Ibrahem:
Adversary-Resilient Clustered Federated Learning for Secure AI-Driven Healthcare Data Analytics. IWCMC 2025: 630-636 - [c26]Iqra Batool, Mostafa M. Fouda, Mohamed I. Ibrahem, Zubair Md Fadlullah:
DRL-Based NFV Orchestration for Ultra-Low Latency Edge Applications. VCC 2025: 1-6 - [c25]Lara Tarkh, Mohan Li, Iqra Batool, Mostafa M. Fouda, Mohamed I. Ibrahem, Hanan Lutfiyya, Zubair Md Fadlullah:
MAGHE: A Predictive Mobility-Aware Framework for VNF Embedding in B5G Networks. VCC 2025: 1-6 - [c24]Iqra Batool, Mostafa M. Fouda, Mohamed I. Ibrahem, Muhammad Ismail, Zubair Md Fadlullah:
Adaptive Resource Allocation for 6G Network Slicing via Hybrid CNN-LSTM Architecture. VTC2025-Fall 2025: 1-6 - [c23]Mohammad J. Akhtar, Rishabh Jain, Iqra Batool, Mostafa M. Fouda, Mohamed I. Ibrahem, Sherief Hashima, Zubair Md Fadlullah:
Combating Neural Network Adversaries in Autonomous Vehicles: A 6G-Ready Defense Framework. WINCOM 2025: 1-6 - [c22]Iqra Batool, Mostafa M. Fouda, Mohamed I. Ibrahem, Muhammad Ismail, Sherief Hashima, Zubair Md Fadlullah:
PFANS: An Intelligent 6G Framework for Dynamic Autonomous Vehicle Learning. WINCOM 2025: 1-6 - [i6]Eyad Gad, Gad Gad, Mostafa M. Fouda, Mohamed I. Ibrahem, Muhammad Ismail, Zubair Md Fadlullah:
REDUS: Adaptive Resampling for Efficient Deep Learning in Centralized and Federated IoT Networks. CoRR abs/2507.02021 (2025) - 2024
- [j16]Atef H. Bondok, Mahmoud M. Badr, Mohamed M. E. A. Mahmoud, Ahmed T. El-Toukhy, Maazen Alsabaan, Fathi H. Amsaad, Mohamed I. Ibrahem:
A Trojan Attack Against Smart Grid Federated Learning and Countermeasures. IEEE Access 12: 191828-191846 (2024) - [j15]Mohamed I. Ibrahem, Mostafa M. Fouda:
A Lightweight Privacy-Preserving Load Forecasting and Monitoring Scheme Supporting Dynamic Billing for Smart Grids: No KDC Required. IEEE Internet Things J. 11(19): 32160-32171 (2024) - [j14]Islam Elgarhy, Mahmoud M. Badr, Mohamed M. E. A. Mahmoud, Mahmoud Nabil Mahmoud, Maazen Alsabaan, Mohamed I. Ibrahem:
Securing Smart Grid False Data Detectors Against White-Box Evasion Attacks Without Sacrificing Accuracy. IEEE Internet Things J. 11(20): 33873-33889 (2024) - [j13]Engy A. El-Shafeiy, Walaa M. Elsayed, Haitham Elwahsh, Maazen Alsabaan, Mohamed I. Ibrahem, Gamal Farouk Elhady:
Deep Complex Gated Recurrent Networks-Based IoT Network Intrusion Detection Systems. Sensors 24(18): 5933 (2024) - [j12]Walaa M. Elsayed, Maazen Alsabaan, Mohamed I. Ibrahem, Engy A. El-Shafeiy:
The Potential of Deep Learning in Underwater Wireless Sensor Networks and Noise Canceling for the Effective Monitoring of Aquatic Life. Sensors 24(18): 6102 (2024) - [j11]Mohamed Fathallah, Sherif El-Etriby, Maazen Alsabaan, Mohamed I. Ibrahem, Gamal Farok:
Advanced 3D Face Reconstruction from Single 2D Images Using Enhanced Adversarial Neural Networks and Graph Neural Networks. Sensors 24(19): 6280 (2024) - [c21]Hussien AbdelRaouf, Ryker Gogolkiewicz, Nathaniel Kim, Nicholas McCaughan, Joel Alanes, Ali Nadhaif, Mostafa M. Fouda, Mohamed I. Ibrahem:
Demand Response in Smart Grids: Challenges, Solutions, and Security Implications. AIBThings 2024: 1-6 - [c20]Hussien AbdelRaouf, Mohamed I. Ibrahem:
Exploring Advanced Techniques for Identifying Electricity Theft in Smart Grid Systems. AIBThings 2024: 1-6 - [c19]Hussien AbdelRaouf, Michael Long, Paul Tran, Luna Baral, Zuha Khan, Mohamed Mahmoud, Mostafa M. Fouda, Mohamed I. Ibrahem:
Privacy Preservation Techniques in Smart Grids: Balancing Security and Utility in IoT-Driven Environments. AIBThings 2024: 1-6 - [c18]Shijon Das, Mohamed I. Ibrahem, Mostafa M. Fouda:
A Survey on the Landscape of Machine Learning Solutions for Detecting Phishing Attacks. AIBThings 2024: 1-7 - [c17]Tanzim Mostafa, Mohamed I. Ibrahem, Mostafa M. Fouda:
Unraveling Model Inversion Attacks: A Survey of Machine Learning Vulnerabilities. AIBThings 2024: 1-8 - [c16]Mohamed I. Ibrahem, Mostafa M. Fouda, Zubair Md Fadlullah:
FedSafe-No KDC Needed: Decentralized Federated Learning with Enhanced Security and Efficiency. CCNC 2024: 969-975 - [c15]Mohamed I. Ibrahem, Hussien AbdelRaouf, Ahmad Alsharif, Mostafa M. Fouda, Zubair Md Fadlullah, Ahmed Aleroud:
Privacy-preserving, Lightweight, and Decentralized Load Forecasting in Smart Grid AMI Networks. ICC 2024: 2222-2227 - [c14]Gad Gad, Zubair Md Fadlullah, Mostafa M. Fouda, Mohamed I. Ibrahem, Nei Kato:
Federated Learning With Selective Knowledge Distillation Over Bandwidth-constrained Wireless Networks. ICC 2024: 3476-3481 - [c13]Mahmoud Srewa, Michaela F. Winfree, Mohamed I. Ibrahem, Mahmoud Nabil, Rongxing Lu, Ahmad Alsharif:
Poisoning Attack Mitigation for Privacy-Preserving Federated Learning-Based Energy Theft Detection. ICC 2024: 3962-3968 - [c12]Hussien AbdelRaouf, Mahmoud Abouyoussef, Mohamed I. Ibrahem:
An Innovative Approach for Human Activity Recognition Based on a Multi-Head Attention Mechanism. ICMLA 2024: 1559-1563 - [c11]Ahmed F. Ashour, Mostafa M. Fouda, Zubair Md Fadlullah, Mohamed I. Ibrahem:
Enhancing Diabetes Prediction Based on Pair-Wise Ensemble Learning Model Selection. SmartNets 2024: 1-6 - [c10]Ahmed T. El-Toukhy, Islam Elgarhy, Mahmoud M. Badr, Mohamed Mahmoud, Mostafa M. Fouda, Mohamed I. Ibrahem, Fathi Amsaad:
Securing Smart Grids: Deep Reinforcement Learning Approach for Detecting Cyber-Attacks. SmartNets 2024: 1-6 - [i5]Diana Lin, Samarth Bhargav, Azuka J. Chiejina, Mohamed I. Ibrahem, Vijay K. Shah:
ZT-RIC:A Zero Trust RIC Framework for ensuring data Privacy and Confidentiality in Open RAN. CoRR abs/2411.07128 (2024) - 2023
- [j10]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:
Privacy-Preserving Detection of Power Theft in Smart Grid Change and Transmit (CAT) Advanced Metering Infrastructure. IEEE Access 11: 68569-68587 (2023) - [j9]Ahmed A. Shafee, Mohamed M. E. A. Mahmoud, Gautam Srivastava, Mostafa M. Fouda, Maazen Alsabaan, Mohamed I. Ibrahem:
Detection of Distributed Denial of Charge (DDoC) Attacks Using Deep Neural Networks With Vector Embedding. IEEE Access 11: 75381-75397 (2023) - [j8]Mahmoud M. Badr, Mohamed M. E. A. Mahmoud, Yuguang Fang, Mohammed J. Abdulaal, Abdulah Jeza Aljohani, Waleed Alasmary, Mohamed I. Ibrahem:
Privacy-Preserving and Communication-Efficient Energy Prediction Scheme Based on Federated Learning for Smart Grids. IEEE Internet Things J. 10(9, May 1): 7719-7736 (2023) - [j7]Alaa M. Allakany, Abeer Saber, Samih Mohemmed Mostafa, Maazen Alsabaan, Mohamed I. Ibrahem, Haitham Elwahsh:
Enhancing Security in ZigBee Wireless Sensor Networks: A New Approach and Mutual Authentication Scheme for D2D Communication. Sensors 23(12): 5703 (2023) - [j6]Engy A. El-Shafeiy, Maazen Alsabaan, Mohamed I. Ibrahem, Haitham Elwahsh:
Real-Time Anomaly Detection for Water Quality Sensor Monitoring Based on Multivariate Deep Learning Technique. Sensors 23(20): 8613 (2023) - [c9]Anwar Asad, Mostafa M. Fouda, Zubair Md Fadlullah, Mohamed I. Ibrahem, Nidal Nasser:
Moreau Envelopes-Based Personalized Asynchronous Federated Learning: Improving Practicality in Network Edge Intelligence. GLOBECOM 2023: 2033-2038 - [c8]Gad Gad, Zubair Md Fadlullah, Mostafa M. Fouda, Mohamed I. Ibrahem, Nidal Nasser:
Joint Knowledge Distillation and Local Differential Privacy for Communication-Efficient Federated Learning in Heterogeneous Systems. GLOBECOM 2023: 2051-2056 - [c7]Mohamed Elmahallawy, Tie Luo, Mohamed I. Ibrahem:
Secure and Efficient Federated Learning in LEO Constellations Using Decentralized Key Generation and On-Orbit Model Aggregation. GLOBECOM 2023: 5727-5732 - [i4]Mohamed Elmahallawy, Tie Luo, Mohamed I. Ibrahem:
Secure and Efficient Federated Learning in LEO Constellations using Decentralized Key Generation and On-Orbit Model Aggregation. CoRR abs/2309.01828 (2023) - 2022
- [j5]Mohammed J. Abdulaal, Mohamed I. Ibrahem, Mohamed M. E. A. Mahmoud, Junaid Khalid, Abdulah Jeza Aljohani, Ahmad H. Milyani, Abdullah M. Abusorrah:
Real-Time Detection of False Readings in Smart Grid AMI Using Deep and Ensemble Learning. IEEE Access 10: 47541-47556 (2022) - [j4]Mahmoud M. Badr, Mohamed I. Ibrahem, Mohamed Mahmoud, Mostafa M. Fouda, Fawaz Alsolami, Waleed Alasmary:
Detection of False-Reading Attacks in Smart Grid Net-Metering System. IEEE Internet Things J. 9(2): 1386-1401 (2022) - [j3]Mohamed I. Ibrahem, Mohamed M. E. A. Mahmoud, Fawaz Alsolami, Waleed Alasmary, Abdullah Saad Al-Malaise Al-Ghamdi, Xuemin Shen:
Electricity-Theft Detection for Change-and-Transmit Advanced Metering Infrastructure. IEEE Internet Things J. 9(24): 25565-25580 (2022) - [c6]Mohamed I. Ibrahem, Mohamed Mahmoud, Mostafa M. Fouda, Basem M. ElHalawany, Waleed Alasmary:
Privacy-preserving and Efficient Decentralized Federated Learning-based Energy Theft Detector. GLOBECOM 2022: 287-292 - 2021
- [j2]Mohamed I. Ibrahem, Mahmoud Nabil, Mostafa M. Fouda, Mohamed M. E. A. Mahmoud, Waleed Alasmary, Fawaz Alsolami:
Efficient Privacy-Preserving Electricity Theft Detection With Dynamic Billing and Load Monitoring for AMI Networks. IEEE Internet Things J. 8(2): 1243-1258 (2021) - [j1]Mohamed I. Ibrahem, Mohamed Mahmoud, Mostafa M. Fouda, Fawaz Alsolami, Waleed Alasmary, Xuemin Shen:
Privacy Preserving and Efficient Data Collection Scheme for AMI Networks Using Deep Learning. IEEE Internet Things J. 8(23): 17131-17146 (2021) - [c5]Muneera Alotaibi, Mohamed I. Ibrahem, Waleed Alasmary, Dawood Al-Abri, Mohamed Mahmoud:
UBLS: User-Based Location Selection Scheme for Preserving Location Privacy. ICC Workshops 2021: 1-6 - [c4]Mahmoud M. Badr, Mohamed I. Ibrahem, Mohamed Baza, Mohamed Mahmoud, Waleed Alasmary:
Detecting Electricity Fraud in the Net-Metering System Using Deep Learning. ISNCC 2021: 1-6 - [c3]Mohamed I. Ibrahem, Sherif Abdelfattah, Mohamed Mahmoud, Waleed Alasmary:
Detecting Electricity Theft Cyber-attacks in CAT AMI System Using Machine Learning. ISNCC 2021: 1-6 - [c2]Mohamed I. Ibrahem, Mahmoud M. Badr, Mohamed Mahmoud, Mostafa M. Fouda, Waleed Alasmary:
Countering Presence Privacy Attack in Efficient AMI Networks Using Interactive Deep-Learning. ISNCC 2021: 1-7 - 2020
- [c1]Mohamed I. Ibrahem, Mahmoud M. Badr, Mostafa M. Fouda, Mohamed Mahmoud, Waleed Alasmary, Zubair Md Fadlullah:
PMBFE: Efficient and Privacy-Preserving Monitoring and Billing Using Functional Encryption for AMI Networks. ISNCC 2020: 1-7 - [i3]Mohamed I. Ibrahem, Mahmoud Nabil, Mostafa M. Fouda, Mohamed Mahmoud, Waleed Alasmary, Fawaz Alsolami:
Efficient Privacy-Preserving Electricity Theft Detection with Dynamic Billing and Load Monitoring for AMI Networks. CoRR abs/2005.13793 (2020) - [i2]Mohamed I. Ibrahem, Mohamed Mahmoud, Mostafa M. Fouda, Fawaz Alsolami, Waleed Alasmary, Xuemin Shen:
Privacy-Preserving and Efficient Data Collection Scheme for AMI Networks Using Deep Learning. CoRR abs/2011.03814 (2020) - [i1]Mahmoud M. Badr, Mohamed I. Ibrahem, Mohamed Mahmoud, Mostafa M. Fouda, Waleed Alasmary:
Detection of False-Reading Attacks in the AMI Net-Metering System. CoRR abs/2012.01983 (2020)
Coauthor Index
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