activity
20192022
most cited6G White paper: Research challenges for Trust, Security and Privacy

108 citations · 328 across the 7 of their papers we have counts for

collaborators

8 papers

cs.CR2022★ 4 cited

5G enabled Mobile Edge Computing security for Autonomous Vehicles

Daryll Ralph D'Costa, Robert Abbas

The world is moving into a new era with the deployment of 5G communication infrastructure. Many new developments are deployed centred around this technology. One such advancement i…

cs.LG2021★ 81 cited

IoT Security: Botnet detection in IoT using Machine learning

Satish Pokhrel, Robert Abbas, Bhulok Aryal

The acceptance of Internet of Things (IoT) applications and services has seen an enormous rise of interest in IoT. Organizations have begun to create various IoT based gadgets rang…

cs.CR2020★ 108 cited

6G White paper: Research challenges for Trust, Security and Privacy

Mika Ylianttila, Raimo Kantola, Andrei Gurtov +24

The roles of trust, security and privacy are somewhat interconnected, but different facets of next generation networks. The challenges in creating a trustworthy 6G are multidiscipl…

cs.IT2020★ 94 cited

6G White Paper on Machine Learning in Wireless Communication Networks

Samad Ali, Walid Saad, Nandana Rajatheva +24

The focus of this white paper is on machine learning (ML) in wireless communications. 6G wireless communication networks will be the backbone of the digital transformation of socie…

cs.NI2020★ 3 cited

Campus Wi-Fi Coverage Mapping and Analysis

Farhana Binte Kamrul Easha, Robert Abbas, Matthew Daley

Wireless Local Area Networks (WLANs), known as Wi-Fi, have become an essential service in university environments that helps staff, students and guests to access connectivity to th…

eess.SP2020★ 4 cited

5G Coverage, Prediction, and Trial Measurements

Tristan Curry, Robert Abbas

When planning a 5G network in the sub-6GHz bands, similar cell planning techniques to LTE can be applied. Looking at the Australian environment, the n78 band (3.3-3.8GHz TDD) is ap…

cs.CR2020

Machine Learning based Anomaly Detection for 5G Networks

Jordan Lam, Robert Abbas

Protecting the networks of tomorrow is set to be a challenging domain due to increasing cyber security threats and widening attack surfaces created by the Internet of Things (IoT),…

cs.CR2019★ 34 cited

An Overview of Attacks and Defences on Intelligent Connected Vehicles

Mahdi Dibaei, Xi Zheng, Kun Jiang +9

Cyber security is one of the most significant challenges in connected vehicular systems and connected vehicles are prone to different cybersecurity attacks that endanger passengers…