supervised machine learning

Comparing Hierarchical Approaches to Enhance Supervised Emotive Text Classification
This paper provides a comparative investigation into how methods used in hierarchical classification problems in other domains, which …
Lowri Williams, Eirini Anthi, Pete Burnap
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Hardening machine learning denial of service (DoS) defences against adversarial attacks in IoT smart home networks
Machine learning based Intrusion Detection Systems (IDS) allow flexible and efficient automated detection of cyberattacks in Internet …
Eirini Anthi, Lowri Williams, Amir Javed, Pete Burnap
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Adversarial attacks on machine learning cybersecurity defences in industrial control systems
The proliferation and application of machine learning-based Intrusion Detection Systems (IDS) have allowed for more flexibility and …
Eirini Anthi, Lowri Williams, Matilda Rhode, Pete Burnap, Adam Wedgbury
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A three-tiered intrusion detection system for industrial control systems
This article presents three-tiered intrusion detection systems, which uses a supervised approach to detect cyber-attacks in industrial …
Eirini Anthi, Lowri Williams, Pete Burnap, Kevin Jones
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Comparing the utility of different classification schemes for emotive language analysis
In this paper we investigated the utility of different classification schemes for emotive language analysis with the aim of providing …
Lowri Williams, Michael Arribas-Ayllon, Andreas Artemiou, Irena Spasic
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A supervised intrusion detection system for smart home IoT devices
The proliferation in Internet of Things (IoT) devices, which routinely collect sensitive information, is demonstrated by their …
Eirini Anthi, Lowri Williams, Małgorzata Słowińska, George Theodorakopoulos, Pete Burnap
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