Machine Learning (ML) has become ubiquitous, and its deployment in Netwo...
Sharing Virtualized Network Functions (VNFs) among different slices in F...
The growth in the deployment of Internet of Things (IoT) devices in vari...
Because of the constrained nature of devices and networks in the Interne...
In this letter, we address the issue of scalable and timely disseminatio...
Machine learning and deep learning algorithms can be used to classify
en...
The IPv6 over Low-powered Wireless Personal Area Network (6LoWPAN) proto...
As the de facto routing protocol for many Internet of Things (IoT) netwo...
The need for robust, secure and private machine learning is an important...
The proliferation of smart, connected, always listening devices have
int...
Network security applications, including intrusion detection systems of ...
As the de facto routing protocol for many Internet of Things (IoT) netwo...
As the Routing Protocol for Low Power and Lossy Networks (RPL) became th...
Google's QUIC (GQUIC) is an emerging transport protocol designed to redu...
Malicious co-residency in virtualized networks poses a real threat. The
...
Machine learning models have made many decision support systems to be fa...
With the growth of adversarial attacks against machine learning models,
...
As the Routing Protocol for Low Power and Lossy Networks (RPL) became th...
Adversarial attacks have been widely studied in the field of computer vi...
Network slicing is a key to supporting different quality-of-service
requ...
In this paper, we propose a solution to proactively mitigate Distributed...
Network slicing is the key to providing flexible, scalable and on-demand...
Unlike traditional networks which are statically configured, SDN control...