activity
20172026
most citedThreat analysis of IoT networks Using Artificial Neural Network Intrusion Detection System

444 citations · 1.3k across the 22 of their papers we have counts for

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Showing 2020Show all

5 papers · 1 filter

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.SE2020

Interoperability and Integration Testing Methods for IoT Systems: a Systematic Mapping Study

Miroslav Bures, Matej Klima, Vaclav Rechtberger +4

The recent active development of Internet of Things (IoT) solutions in various domains has led to an increased demand for security, safety, and reliability of these systems. Securi…

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…