most citedIoT Malware Network Traffic Classification using Visual Representation and Deep Learning

101 citations · 398 across the 15 of their papers we have counts for

collaborators

15 papers

cs.CR2021★ 9 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.CR2021★ 68 cited

On the Security and Privacy of Hyperledger Fabric:Challenges and Open Issues

Sotirios Brotsis, Nicholas Kolokotronis, Konstantinos Limniotis +2

In the last few years, a countless number of permissioned blockchain solutions have been proposed, with each one to claim that it revolutionizes the way of the transaction processi…

cs.SI2021★ 1 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.CR2021★ 7 cited

A Novel Multimodal Biometric Authentication System using Machine Learning and Blockchain

Richard Brown, Gueltoum Bendiab, Stavros Shiaeles +1

Traditional authentication systems that rely on simple passwords, PIN numbers or tokens have many security issues, like easily guessed passwords, PIN numbers written on the back of…

cs.CR2021★ 3 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.CR2021★ 2 cited

Insider Detection using Deep Autoencoder and Variational Autoencoder Neural Networks

Efthimios Pantelidis, Gueltoum Bendiab, Stavros Shiaeles +1

Insider attacks are one of the most challenging cybersecurity issues for companies, businesses and critical infrastructures. Despite the implemented perimeter defences, the risk of…

cs.CR2021★ 36 cited

Intrusion Detection using Network Traffic Profiling and Machine Learning for IoT

Joseph Rose, Matthew Swann, Gueltoum Bendiab +2

The rapid increase in the use of IoT devices brings many benefits to the digital society, ranging from improved efficiency to higher productivity. However, the limited resources an…

cs.CR2021★ 21 cited

Detection of Insider Threats using Artificial Intelligence and Visualisation

Vasileios Koutsouvelis, Stavros Shiaeles, Bogdan Ghita +1

Insider threats are one of the most damaging risk factors for the IT systems and infrastructure of a company or an organization; identification of insider threats has prompted the…

cs.CR2021★ 93 cited

On the Suitability of Blockchain Platforms for IoT Applications: Architectures, Security, Privacy, and Performance

Sotirios Brotsis, Konstantinos Limniotis, Gueltoum Bendiab +2

Blockchain and distributed ledger technologies have received significant interest in various areas beyond the financial sector, with profound applications in the Internet of Things…

cs.CR2021★ 23 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.CR2021★ 8 cited

Thermal Management in Large Data Centers: Security Threats and Mitigation

Betty Saridou, Gueltoum Bendiab, Stavros N. Shiaeles +1

Data centres are experiencing significant growth in their scale, especially, with the ever-increasing demand for cloud and IoT services. However, this rapid growth has raised numer…

cs.CR2021★ 2 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…

cs.CR2021

Advanced Metering Infrastructures: Security Risks and Mitigation

Gueltoum Bendiab, Konstantinos-Panagiotis Grammatikakis, Ioannis Koufos +2

Energy providers are moving to the smart meter era, encouraging consumers to install, free of charge, these devices in their homes, automating consumption readings submission and m…

cs.CR2021★ 24 cited

Intrusion Detection Systems for Smart Home IoT Devices: Experimental Comparison Study

Faisal Alsakran, Gueltoum Bendiab, Stavros Shiaeles +1

Smart homes are one of the most promising applications of the emerging Internet of Things (IoT) technology. With the growing number of IoT related devices such as smart thermostats…

cs.CR2020★ 101 cited

IoT Malware Network Traffic Classification using Visual Representation and Deep Learning

Gueltoum Bendiab, Stavros Shiaeles, Abdulrahman Alruban +1

With the increase of IoT devices and technologies coming into service, Malware has risen as a challenging threat with increased infection rates and levels of sophistication. Withou…