activity
20182021
most citedDetection of False-Reading Attacks in the AMI Net-Metering System

3 citations · 5 across the 5 of their papers we have counts for

collaborators

17 papers

cs.CR20211 cited

Efficient and Privacy-Preserving Infection Control System for Covid-19-Like Pandemics using Blockchain

Seham A. Alansar, Mahmoud M. Badr, Mohamed Mahmoud +1

Contact tracing is a very effective way to control the COVID-19-like pandemics. It aims to identify individuals who closely contacted an infected person during the incubation perio…

cs.CR20203 cited

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…

cs.CR2020

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…

cs.CR20201 cited

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…

cs.CR2020

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…

cs.LG2019

On Sharing Models Instead of Data using Mimic learning for Smart Health Applications

Mohamed Baza, Andrew Salazar, Mohamed Mahmoud +2

Electronic health records (EHR) systems contain vast amounts of medical information about patients. These data can be used to train machine learning models that can predict health…