444 citations · 1.3k across the 20 of their papers we have counts for
3 papers · 1 filter
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…
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…
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…