activity
20192021
most citedA Novel Online Incremental Learning Intrusion Prevention System

53 citations · 205 across the 11 of their papers we have counts for

collaborators

11 papers

cs.SD2021★ 8 cited

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…

cs.CR2021★ 15 cited

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…

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★ 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★ 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★ 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.CR2020★ 7 cited

The Challenges with Internet of Things for Business

Ievgeniia Kuzminykh, Bogdan Ghita, Jose M. Such

Many companies consider IoT as a central element for increasing competitiveness. Despite the growing number of cyberattacks on IoT devices and the importance of IoT security, no st…

cs.CR2020

Impact of Network and Host Characteristics on the Keystroke Pattern in Remote Desktop Sessions

Ievgeniia Kuzminykh, Bogdan Ghita, Alexandr Silonosov

Authentication based on keystroke dynamics is a convenient biometric approach, easy in use, transparent, and cheap as it does not require a dedicated sensor. Keystroke authenticati…

cs.CR2019★ 30 cited

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…

cs.CR2019★ 12 cited

Agent-based Vs Agent-less Sandbox for Dynamic Behavioral Analysis

Muhammad Ali, Stavros Shiaeles, Maria Papadaki +1

Malicious software is detected and classified by either static analysis or dynamic analysis. In static analysis, malware samples are reverse engineered and analyzed so that signatu…

cs.NI2019★ 22 cited

Detection of LDDoS Attacks Based on TCP Connection Parameters

Michael Siracusano, Stavros Shiaeles, Bogdan Ghita

Low-rate application layer distributed denial of service (LDDoS) attacks are both powerful and stealthy. They force vulnerable webservers to open all available connections to the a…