activity
20162024
most citedOptimal Slice Allocation in 5G Core Networks

133 citations · 336 across the 25 of their papers we have counts for

collaborators

27 papers

cs.CR2024★ 3 cited

Cybersecurity Challenge Analysis of Work-from-Anywhere (WFA) and Recommendations guided by a User Study

Mohammed Mahyoub, Ashraf Matrawy, Kamal Isleem +1

Many organizations were forced to quickly transition to the work-from-anywhere (WFA) model as a necessity to continue with their operations and remain in business despite the restr…

cs.NI2023★ 4 cited

A Security-aware Network Function Sharing Model for 5G Slicing

Mohammed Mahyoub, AbdulAziz AbdulGhaffar, Emmanuel Alalade +1

Sharing Virtualized Network Functions (VNFs) among different slices in Fifth Generation (5G) is a potential strategy to simplify the system implementation and utilize 5G resources…

cs.NI2022★ 2 cited

Open Source Horizontal IoT Platforms: A Comparative Study on Functional Requirements

Ali Farhat, Abdelrahman Eldosouky, Jason Jaskolka +2

The growth in the deployment of Internet of Things (IoT) devices in various industries required the use of IoT platforms to manage, automate and control devices. This introduced di…

cs.NI2022★ 11 cited

An Experimental Investigation of Tuning QUIC-Based Publish-Subscribe Architectures in IoT

Darius Saif, Ashraf Matrawy

There has been growing interest in using the QUIC transport protocol for the Internet of Things (IoT). In lossy and high latency networks, QUIC outperforms TCP and TLS. Since IoT g…

cs.NI2021★ 19 cited

A Pure HTTP/3 Alternative to MQTT-over-QUIC in Resource-Constrained IoT

Darius Saif, Ashraf Matrawy

In this paper, we address the issue of scalable, interoperable, and timely dissemination of information in resource-constrained IoT. Scalability is addressed by adopting a publish-…

cs.CR2021

Evaluating Resilience of Encrypted Traffic Classification Against Adversarial Evasion Attacks

Ramy Maarouf, Danish Sattar, Ashraf Matrawy

Machine learning and deep learning algorithms can be used to classify encrypted Internet traffic. Classification of encrypted traffic can become more challenging in the presence of…