23 citations · 27 across the 2 of their papers we have counts for
6 papers
Utilising Flow Aggregation to Classify Benign Imitating Attacks
Hanan Hindy, Robert Atkinson, Christos Tachtatzis +3
Cyber-attacks continue to grow, both in terms of volume and sophistication. This is aided by an increase in available computational power, expanding attack surfaces, and advancemen…
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…
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…
Improving SIEM for Critical SCADA Water Infrastructures Using Machine Learning
Hanan Hindy, David Brosset, Ethan Bayne +2
Network Control Systems (NAC) have been used in many industrial processes. They aim to reduce the human factor burden and efficiently handle the complex process and communication o…
A Taxonomy of Malicious Traffic for Intrusion Detection Systems
Hanan Hindy, Elike Hodo, Ethan Bayne +3
With the increasing number of network threats it is essential to have a knowledge of existing and new network threats in order to design better intrusion detection systems. In this…
A Taxonomy of Network Threats and the Effect of Current Datasets on Intrusion Detection Systems
Hanan Hindy, David Brosset, Ethan Bayne +4
As the world moves towards being increasingly dependent on computers and automation, building secure applications, systems and networks are some of the main challenges faced in the…