most citedA Novel Approach to Detect Phishing Attacks using Binary Visualisation and Machine Learning

23 citations · 38 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CR20219 cited

BotSpot: Deep Learning Classification of Bot Accounts within Twitter

Christopher Braker, Stavros Shiaeles, Gueltoum Bendiab +2

The openness feature of Twitter allows programs to generate and control Twitter accounts automatically via the Twitter API. These accounts, which are known as bots, can automatical…

cs.SI20211 cited

SoMIAP: Social media images analysis and prediction framework

Yonghao Shi, Gueltoum Bendiab, Stavros Shiaeles +1

The personal photos captured and submitted by users on social networks can provide several interesting insights about the location of the user, which is a key indicator of their da…

cs.CR20213 cited

Tools for Network Traffic Generation -- A Quantitative Comparison

Matthew Swann, Joseph Rose, Gueltoum Bendiab +2

Network traffic generators are invaluable tools that allow for applied experimentation to evaluate the performance of networks, infrastructure, and security controls, by modelling…

cs.CR202123 cited

A Novel Approach to Detect Phishing Attacks using Binary Visualisation and Machine Learning

Luke Barlow, Gueltoum Bendiaby, Stavros Shiaelesy +1

Protecting and preventing sensitive data from being used inappropriately has become a challenging task. Even a small mistake in securing data can be exploited by phishing attacks t…

cs.CR20212 cited

CHAINGE: A Blockchain Solution to Automate Payment Detail Updates to Subscription Services

David Buckley, Gueltoum Bendiab, Stavros Shiaeles +2

The rise of the subscription-based business model has led to a corresponding increase in the number of subscriptions where a customer needs to manage their payments. This managemen…