12 citations · 14 across the 5 of their papers we have counts for
9 papers · 1 filter
Leveraging Machine Learning for Wi-Fi-based Environmental Continuous Two-Factor Authentication
Ali Abdullah S. AlQahtani, Thamraa Alshayeb, Mahmoud Nabil +1
The traditional two-factor authentication (2FA) methods primarily rely on the user manually entering a code or token during the authentication process. This can be burdensome and t…
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…
Privacy-Preserving and Collusion-Resistant Charging Coordination Schemes for Smart Grid
Mohamed Baza, Marbin Pazos-Revilla, Mahmoud Nabil +3
Energy storage units (ESUs) including EVs and home batteries enable several attractive features of the modern smart grids such as effective demand response and reduced electric bil…
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…
A Multi-Authority Attribute-Based Signcryption Scheme with Efficient Revocation for Smart Grid Downlink Communication
Ahmad Alsharif, Ahmad Shafee, Mahmoud Nabil +2
In this paper, we propose a multi-authority attribute-based signcryption scheme with efficient revocation for smart grid downlink communications. In the proposed scheme, grid opera…
Detecting Sybil Attacks using Proofs of Work and Location in VANETs
Mohamed Baza, Mahmoud Nabil, Niclas Bewermeier +3
In this paper, we propose a Sybil attack detection scheme using proofs of work and location. The idea is that each road side unit (RSU) issues a signed time-stamped tag as a proof…