Nour Moustafa
Biographic Data
| ID | 9438148 |
|---|---|
| NAME | Nour Moustafa |
| GIVEN NAMES | Nour |
| FAMILY NAME | Moustafa |
| SIGNATURE | MOUSTAFA N |
| AFFILIATIONS | University of Canberra |
| ORCID | 0000-0001-6127-9349 |
| VERIFIED | Yes |
| TOTAL WORKS | 5 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 5 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2021 |
| LATEST PUBLICATION YEAR | 2024 |
| H-INDEX | 0 |
A Blockchain-Enabled Explainable Federated Learning for Securing Internet-of-Things-Based Social Media 3.0 Networks
Social media (SM) 3.0 integrates SM platforms, such as Facebook and Twitter, with the Internet of Things (IoT), and has a great potential to change how we interact with mobile devices, online platforms, and the world around us. This integration with end users produces large-scale and heterogeneous data sources that demand machine learning (ML)-based data analytics for decision-making and to provide security against ML and data privacy attacks. Th…
Cna-TCC
With the emergence of social media and computing, many users have utilized social media platforms (SMPs) in communicating and sharing their interests and preferences. One critical challenge is that social media have been employed for propaganda and influence campaigns for various purposes, such as spreading fake news. SMPs generate vast amounts of data that demand machine learning (ML) capabilities to efficiently learn and infer influence campaig…
IoTBoT-IDS
A new distributed architecture for evaluating AI-based security systems at the edge
An anonymous device to device access control based on secure certificate for internet of medical things systems
No prominent works on this page.
IoTBoT-IDS
A new distributed architecture for evaluating AI-based security systems at the edge
An anonymous device to device access control based on secure certificate for internet of medical things systems
A Blockchain-Enabled Explainable Federated Learning for Securing Internet-of-Things-Based Social Media 3.0 Networks
Social media (SM) 3.0 integrates SM platforms, such as Facebook and Twitter, with the Internet of Things (IoT), and has a great potential to change how we interact with mobile devices, online platforms, and the world around us. This integration with end users produces large-scale and heterogeneous data sources that demand machine learning (ML)-based data analytics for decision-making and to provide security against ML and data privacy attacks. Th…
Cna-TCC
With the emergence of social media and computing, many users have utilized social media platforms (SMPs) in communicating and sharing their interests and preferences. One critical challenge is that social media have been employed for propaganda and influence campaigns for various purposes, such as spreading fake news. SMPs generate vast amounts of data that demand machine learning (ML) capabilities to efficiently learn and infer influence campaig…
Computer Science (5 works) · World Wide Web (4 works) · Computer security (3 works) · The Internet (3 works) · Artificial Intelligence (2 works) · Computer network (2 works) · Data mining (2 works) · Data science (2 works) · Geography (2 works) · Internet of Things (2 works)