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20192021
most citedIoT Malware Network Traffic Classification using Visual Representation and Deep Learning

101 citations · 608 across the 24 of their papers we have counts for

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Showing 2021Show all

18 papers · 1 filter

cs.CR2021★ 53 cited

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…

cs.CR2021★ 16 cited

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…

cs.CR2021★ 3 cited

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,…

cs.CR2021★ 3 cited

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…

cs.CR2021★ 39 cited

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…

cs.CR2021

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…

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.CR2021★ 30 cited

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…

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★ 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

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…

cs.CR2021★ 13 cited

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…

cs.CR2021★ 9 cited

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…

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★ 12 cited

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…

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…