activity
20182021
most citedDSAF: Dynamic Slice Allocation Framework for 5G Core Network

2 citations · 4 across the 4 of their papers we have counts for

collaborators

5 papers

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…

cs.NI2020

Proactive Allocation as Defense for Malicious Co-residency in Sliced 5G Core Networks

Danish Sattar, Ashraf Matrawy

Malicious co-residency in virtualized networks poses a real threat. The next-generation mobile networks heavily rely on virtualized infrastructure, and network slicing has emerged…

cs.NI20192 cited

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…

cs.NI20192 cited

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…

cs.NI2018

Optimal Slice Allocation in 5G Core Networks

Danish Sattar, Ashraf Matrawy

5G network slicing is essential to providing flexible, scalable and on-demand solutions for the vast array of applications in 5G networks. Two key challenges of 5G network slicing…