Network World

Network Security

Beyond firewalls and perimeter security, a zero trust architecture allows security officials to better protect data and system access to both outsider and insider threats, adopting a mantra of “trust ...
IEEE

A Survey on OFDM-Based Elastic Core Optical Networking

Abstract: Orthogonal frequency-division multiplexing (OFDM) is a modulation technology that has been widely adopted in many new and emerging broadband wireless and wireline communication systems. Due ...
IEEE

Network Slicing and Softwarization: A Survey on Principles, Enabling Technologies, and Solutions

Abstract: Network slicing has been identified as the backbone of the rapidly evolving 5G technology. However, as its consolidation and standardization progress, there are no literatures that ...
IEEE

Network Anomaly Detection: Methods, Systems and Tools

Abstract: Network anomaly detection is an important and dynamic research area. Many network intrusion detection methods and systems (NIDS) have been proposed in the literature. In this paper, we ...
IEEE

A Survey of 5G Network: Architecture and Emerging Technologies

Abstract: In the near future, i.e., beyond 4G, some of the prime objectives or demands that need to be addressed are increased capacity, improved data rate, decreased latency, and better quality of ...
IEEE

A Survey on Network Slicing Security: Attacks, Challenges, Solutions and Research Directions

Abstract: The dawn of softwarized networks enables Network Slicing (NS) as an important technology towards allocating end-to-end logical networks to facilitate diverse requirements of emerging ...
IEEE

PAPNet: Point-enhanced Attention-aware Pillar Network for 3D Object Detection in Autonomous Driving

Abstract: The conversion of raw point clouds into pillar representations has been widely adopted for 3D object detection. Such conversion allows a point cloud to be discretized into structured grids, ...
IEEE

GRAB-Net: Graph-Based Boundary-Aware Network for Medical Point Cloud Segmentation

Abstract: Point cloud segmentation is fundamental in many medical applications, such as aneurysm clipping and orthodontic planning. Recent methods mainly focus on designing powerful local feature ...
IEEE

ASNet: Introducing Approximate Hardware to High-Level Synthesis of Neural Networks

Abstract: Approximate Computing is a design paradigm which makes use of error tolerance inherent to many applications in order to trade off accuracy for performance ...
Queen Mary University of London

School of Electronic Engineering and Computer Science

Find out more about undergraduate study at the School of Electronic Engineering and Computer Science.
Cloud Security Alliance

Cloud Security Glossary

An IEEE standard for local and metropolitan area networks–Port-Based Network Access Control. IEEE 802 LANs are deployed in networks that convey or provide access to critical data, that support mission ...
GitHub

Deep convolutional Generative Adversarial Networks (DCGANS)

In practice GAN's are very hard to train mainly because of the following reasons : The Nash Equilibrium is very hard to reach using Gradient Descent based methods used for training GAN's tend to ...