3 citations · 5 across the 5 of their papers we have counts for
5 papers · 1 filter
Detection of False-Reading Attacks in the AMI Net-Metering System
Mahmoud M. Badr, Mohamed I. Ibrahem, Mohamed Mahmoud +2
In smart grid, malicious customers may compromise their smart meters (SMs) to report false readings to achieve financial gains illegally. Reporting false readings not only causes h…
Privacy-Preserving and Efficient Data Collection Scheme for AMI Networks Using Deep Learning
Mohamed I. Ibrahem, Mohamed Mahmoud, Mostafa M. Fouda +4
In advanced metering infrastructure (AMI), smart meters (SMs), which are installed at the consumer side, send fine-grained power consumption readings periodically to the electricit…
Applying Machine Learning Techniques for Caching in Edge Networks: A Comprehensive Survey
Junaid Shuja, Kashif Bilal, Waleed Alasmary +2
Edge networking is a complex and dynamic computing paradigm that aims to push cloud resources closer to the end user improving responsiveness and reducing backhaul traffic. User mo…
Detection of Lying Electrical Vehicles in Charging Coordination Application Using Deep Learning
Ahmed Shafee, Mostafa M. Fouda, Mohamed Mahmoud +3
The simultaneous charging of many electric vehicles (EVs) stresses the distribution system and may cause grid instability in severe cases. The best way to avoid this problem is by…
Efficient Privacy-Preserving Electricity Theft Detection with Dynamic Billing and Load Monitoring for AMI Networks
Mohamed I. Ibrahem, Mahmoud Nabil, Mostafa M. Fouda +3
In advanced metering infrastructure (AMI), smart meters (SMs) are installed at the consumer side to send fine-grained power consumption readings periodically to the system operator…