101 citations · 608 across the 24 of their papers we have counts for
26 papers
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…
User-generated pseudonyms through Merkle trees
Georgios Kermezis, Konstantinos Limniotis, Nicholas Kolokotronis
A pseudonymisation technique based on Merkle trees is described in this paper. More precisely, by exploiting inherent properties of the Merkle trees as cryptographic accumulators,…
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…
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…
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…
Privacy Issues in Voice Assistant Ecosystems
Georgios Germanos, Dimitris Kavallieros, Nicholas Kolokotronis +1
Voice assistants have become quite popular lately while in parallel they are an important part of smarthome systems. Through their voice assistants, users can perform various tasks…
A Trust Management System for the IoT domain
Christos-Minas Mathas, Costas Vassilakis, Nicholas Kolokotronis
In modern internet-scale computing, interaction between a large number of parties that are not known a-priori is predominant, with each party functioning both as a provider and con…
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…
Threat Landscape for Smart Grid Systems
Christos-Minas Mathas, Konstantinos-Panagiotis Grammatikakis, Costas Vassilakis +3
Smart Grids are energy delivery networks, constituting an evolution of power grids, in which a bidirectional flow between power providers and consumers is established. These flows…
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…
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…
A machine-learning approach to Detect users' suspicious behaviour through the Facebook wall
Aimilia Panagiotou, Bogdan Ghita, Stavros Shiaeles +1
Facebook represents the current de-facto choice for social media, changing the nature of social relationships. The increasing amount of personal information that runs through this…
Secured by Blockchain: Safeguarding Internet of Things Devices
Nicholas Kolokotronis, Konstantinos Limniotis, Stavros Shiaeles +1
Blockchain is a disruptive technology that has been characterised to be the next big thing and has already gained a broad recognition by experts in diverse fields. In this paper, w…
A Novel Malware Detection System Based On Machine Learning and Binary Visualization
Irina Baptista, Stavros Shiaeles, Nicholas Kolokotronis
The continued evolution and diversity of malware constitutes a major threat in modern systems. It is well proven that security defenses currently available are ineffective to mitig…
Data Protection by Design for Cybersecurity Systems in a Smart Home Environment
Olga Gkotsopoulou, Elisavet Charalambous, Konstantinos Limniotis +5
The present paper deals with the elucidation and implementation of the Data Protection by Design (DPbD) principle as recently introduced in the European Union data protection law,…
Blockchain Solutions for Forensic Evidence Preservation in IoT Environments
Sotirios Brotsis, Nicholas Kolokotronis, Konstantinos Limniotis +4
The technological evolution brought by the Internet of things (IoT) comes with new forms of cyber-attacks exploiting the complexity and heterogeneity of IoT networks, as well as, t…