activity
20182026
most citedA Taxonomy of Network Threats and the Effect of Current Datasets on Intrusion Detection Systems

275 citations · 603 across the 15 of their papers we have counts for

collaborators
Showing 2020Show all

5 papers · 1 filter

cs.SE2020

Quality and Reliability Metrics for IoT Systems: A Consolidated View

Matej Klima, Vaclav Rechtberger, Miroslav Bures +3

Quality and reliability metrics play an important role in the evaluation of the state of a system during the development and testing phases, and serve as tools to optimize the test…

cs.CR2020

A Review of Cyber-Ranges and Test-Beds: Current and Future Trends

Elochukwu Ukwandu, Mohamed Amine Ben Farah, Hanan Hindy +7

Cyber situational awareness has been proven to be of value in forming a comprehensive understanding of threats and vulnerabilities within organisations, as the degree of exposure i…

cs.CR2020★ 226 cited

Utilising Deep Learning Techniques for Effective Zero-Day Attack Detection

Hanan Hindy, Robert Atkinson, Christos Tachtatzis +3

Machine Learning (ML) and Deep Learning (DL) have been used for building Intrusion Detection Systems (IDS). The increase in both the number and sheer variety of new cyber-attacks p…

cs.CR2020★ 41 cited

Leveraging Siamese Networks for One-Shot Intrusion Detection Model

Hanan Hindy, Christos Tachtatzis, Robert Atkinson +5

The use of supervised Machine Learning (ML) to enhance Intrusion Detection Systems has been the subject of significant research. Supervised ML is based upon learning by example, de…

cs.CR2020★ 3 cited

Machine Learning Based IoT Intrusion Detection System: An MQTT Case Study (MQTT-IoT-IDS2020 Dataset)

Hanan Hindy, Ethan Bayne, Miroslav Bures +3

The Internet of Things (IoT) is one of the main research fields in the Cybersecurity domain. This is due to (a) the increased dependency on automated device, and (b) the inadequacy…