405 citations · 937 across the 18 of their papers we have counts for
7 papers · 1 filter
Mitigating the Impact of Adversarial Attacks in Very Deep Networks
Mohammed Hassanin, Ibrahim Radwan, Nour Moustafa +2
Deep Neural Network (DNN) models have vulnerabilities related to security concerns, with attackers usually employing complex hacking techniques to expose their structures. Data poi…
A Deep Marginal-Contrastive Defense against Adversarial Attacks on 1D Models
Mohammed Hassanin, Nour Moustafa, Murat Tahtali
Deep learning algorithms have been recently targeted by attackers due to their vulnerability. Several research studies have been conducted to address this issue and build more robu…
NetFlow Datasets for Machine Learning-based Network Intrusion Detection Systems
Mohanad Sarhan, Siamak Layeghy, Nour Moustafa +1
Machine Learning (ML)-based Network Intrusion Detection Systems (NIDSs) have proven to become a reliable intelligence tool to protect networks against cyberattacks. Network data fe…
Federated TON_IoT Windows Datasets for Evaluating AI-based Security Applications
Nour Moustafa, Marwa Keshk, Essam Debie +1
Existing cyber security solutions have been basically developed using knowledge-based models that often cannot trigger new cyber-attack families. With the boom of Artificial Intell…
Data Analytics-enabled Intrusion Detection: Evaluations of ToN_IoT Linux Datasets
Nour Moustafa, Mohiuddin Ahmed, Sherif Ahmed
With the widespread of Artificial Intelligence (AI)- enabled security applications, there is a need for collecting heterogeneous and scalable data sources for effectively evaluatin…
Densely Connected Residual Network for Attack Recognition
Peilun Wu, Nour Moustafa, Shiyi Yang +1
High false alarm rate and low detection rate are the major sticking points for unknown threat perception. To address the problems, in the paper, we present a densely connected resi…
Enhancing network forensics with particle swarm and deep learning: The particle deep framework
Nickolaos Koroniotis, Nour Moustafa
The popularity of IoT smart things is rising, due to the automation they provide and its effects on productivity. However, it has been proven that IoT devices are vulnerable to bot…