133 citations · 336 across the 25 of their papers we have counts for
6 papers · 1 filter
The Threat of Adversarial Attacks on Machine Learning in Network Security -- A Survey
Olakunle Ibitoye, Rana Abou-Khamis, Mohamed el Shehaby +2
Machine learning models have made many decision support systems to be faster, more accurate, and more efficient. However, applications of machine learning in network security face…
Investigating Resistance of Deep Learning-based IDS against Adversaries using min-max Optimization
Rana Abou Khamis, Omair Shafiq, Ashraf Matrawy
With the growth of adversarial attacks against machine learning models, several concerns have emerged about potential vulnerabilities in designing deep neural network-based intrusi…
Analyzing Adversarial Attacks Against Deep Learning for Intrusion Detection in IoT Networks
Olakunle Ibitoye, Omair Shafiq, Ashraf Matrawy
Adversarial attacks have been widely studied in the field of computer vision but their impact on network security applications remains an area of open research. As IoT, 5G and AI c…
DSAF: Dynamic Slice Allocation Framework for 5G Core Network
Danish Sattar, Ashraf Matrawy
Network slicing is a key to supporting different quality-of-service requirements for users and application in the 5G network. However, allocating network slices efficiently while p…
Secure Routing in IoT: Evaluation of RPL Secure Mode under Attacks
Ahmed Raoof, Ashraf Matrawy, Chung-Horng Lung
As the Routing Protocol for Low Power and Lossy Networks (RPL) became the standard for routing in the Internet of Things (IoT) networks, many researchers had investigated the secur…
Towards Secure Slicing: Using Slice Isolation to Mitigate DDoS Attacks on 5G Core Network Slices
Danish Sattar, Ashraf Matrawy
In this paper, we propose a solution to proactively mitigate Distributed Denial-of-Service attacks in 5G core network slicing using slice isolation. Network slicing is one of the k…