Mohamed I. Ibrahem
Orcid: 0000-0002-8000-4161
According to our database1,
Mohamed I. Ibrahem
authored at least 21 papers
between 2020 and 2024.
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Bibliography
2024
FedSafe-No KDC Needed: Decentralized Federated Learning with Enhanced Security and Efficiency.
Proceedings of the 21st IEEE Consumer Communications & Networking Conference, 2024
2023
Real-Time Anomaly Detection for Water Quality Sensor Monitoring Based on Multivariate Deep Learning Technique.
Sensors, October, 2023
Enhancing Security in ZigBee Wireless Sensor Networks: A New Approach and Mutual Authentication Scheme for D2D Communication.
Sensors, 2023
Privacy-Preserving and Communication-Efficient Energy Prediction Scheme Based on Federated Learning for Smart Grids.
IEEE Internet Things J., 2023
Detection of Distributed Denial of Charge (DDoC) Attacks Using Deep Neural Networks With Vector Embedding.
IEEE Access, 2023
Privacy-Preserving Detection of Power Theft in Smart Grid Change and Transmit (CAT) Advanced Metering Infrastructure.
IEEE Access, 2023
Joint Knowledge Distillation and Local Differential Privacy for Communication-Efficient Federated Learning in Heterogeneous Systems.
Proceedings of the IEEE Global Communications Conference, 2023
Secure and Efficient Federated Learning in LEO Constellations Using Decentralized Key Generation and On-Orbit Model Aggregation.
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
2022
Electricity-Theft Detection for Change-and-Transmit Advanced Metering Infrastructure.
IEEE Internet Things J., 2022
IEEE Internet Things J., 2022
Real-Time Detection of False Readings in Smart Grid AMI Using Deep and Ensemble Learning.
IEEE Access, 2022
Privacy-preserving and Efficient Decentralized Federated Learning-based Energy Theft Detector.
Proceedings of the IEEE Global Communications Conference, 2022
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
Countering Presence Privacy Attack in Efficient AMI Networks Using Interactive Deep-Learning.
Proceedings of the International Symposium on Networks, Computers and Communications, 2021
Proceedings of the International Symposium on Networks, Computers and Communications, 2021
Proceedings of the International Symposium on Networks, Computers and Communications, 2021
Proceedings of the IEEE International Conference on Communications Workshops, 2021
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