101 citations · 713 across the 32 of their papers we have counts for
34 papers
Audio Interval Retrieval using Convolutional Neural Networks
Ievgeniia Kuzminykh, Dan Shevchuk, Stavros Shiaeles +1
Modern streaming services are increasingly labeling videos based on their visual or audio content. This typically augments the use of technologies such as AI and ML by allowing to…
Comparative Analysis of Cryptographic Key Management Systems
Levgeniia Kuzminykh, Bogdan Ghita, Stavros Shiaeles
Managing cryptographic keys can be a complex task for an enterprise and particularly difficult to scale when an increasing number of users and applications need to be managed. In o…
A proactive malicious software identification approach for digital forensic examiners
Muhammad Ali, Stavros Shiaeles, Nathan Clarke +1
Digital investigators often get involved with cases, which seemingly point the responsibility to the person to which the computer belongs, but after a thorough examination malware…
A Novel Online Incremental Learning Intrusion Prevention System
Christos Constantinides, Stavros Shiaeles, Bogdan Ghita +1
Attack vectors are continuously evolving in order to evade Intrusion Detection systems. Internet of Things (IoT) environments, while beneficial for the IT ecosystem, suffer from in…
IoT Vulnerability Data Crawling and Analysis
Stavros Shiaeles, Nicholas Kolokotronis, Emanuele Bellini
Internet of Things (IoT) is a whole new ecosystem comprised of heterogeneous connected devices -i.e. computers, laptops, smart-phones and tablets as well as embedded devices and se…
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…
A Case Study of Intra-library Privacy Issues on Android GPS Navigation Apps
Stylianos Monogios, Konstantinos Limniotis, Nicholas Kolokotronis +1
The Android unrestricted application market, being of open source nature, has made it a popular platform for third-party applications reaching millions of smart devices in the worl…
On Blockchain Architectures for Trust-Based Collaborative Intrusion Detection
Nicholas Kolokotronis, Sotirios Brotsis, Georgios Germanos +2
This paper considers the use of novel technologies for mitigating attacks that aim at compromising intrusion detection systems (IDSs). Solutions based on collaborative intrusion de…
On the Security of Permissioned Blockchain Solutions for IoT Applications
Sotirios Brotsis, Nicholas Kolokotronis, Konstantinos Limniotis +1
The blockchain has found numerous applications in many areas with the expectation to significantly enhance their security. The Internet of things (IoT) constitutes a prominent appl…
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…
Malware Squid: A Novel IoT Malware Traffic Analysis Framework using Convolutional Neural Network and Binary Visualisation
Robert Shire, Stavros Shiaeles, Keltoum Bendiab +2
Internet of Things devices have seen a rapid growth and popularity in recent years with many more ordinary devices gaining network capability and becoming part of the ever growing…
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…
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…
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…
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…
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…
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…
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…
Understanding and Mitigating Banking Trojans: From Zeus to Emotet
Konstantinos Panagiotis Grammatikakis, Ioannis Koufos, Nicholas Kolokotronis +2
Banking Trojans came a long way in the past decade, and the recent case of Emotet showed their enduring relevance. The evolution of the modern computing landscape can be traced thr…
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…
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…
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…
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…
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…