3 citations · 4 across the 3 of their papers we have counts for
4 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…
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…
Mimic Learning to Generate a Shareable Network Intrusion Detection Model
Ahmed Shafee, Mohamed Baza, Douglas A. Talbert +3
Purveyors of malicious network attacks continue to increase the complexity and the sophistication of their techniques, and their ability to evade detection continues to improve as…