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Lowri Williams
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A supervised intrusion detection system for smart home IoT devices
E Anthi, L Williams, M Słowińska, G Theodorakopoulos, P Burnap
IEEE Internet of Things Journal 6 (5), 9042-9053, 2019
2152019
Pulse: an adaptive intrusion detection for the internet of things
E Anthi, L Williams, P Burnap
IET Digital Library, 2018
882018
The role of idioms in sentiment analysis
L Williams, C Bannister, M Arribas-Ayllon, A Preece, I Spasić
Expert Systems with Applications 42 (21), 7375-7385, 2015
832015
Adversarial attacks on machine learning cybersecurity defences in industrial control systems
E Anthi, L Williams, M Rhode, P Burnap, A Wedgbury
Journal of Information Security and Applications 58, 102717, 2021
362021
Idiom-based features in sentiment analysis: Cutting the Gordian knot
I Spasić, L Williams, A Buerki
IEEE Transactions on Affective Computing 11 (2), 189-199, 2017
152017
Hardening machine learning denial of service (DoS) defences against adversarial attacks in IoT smart home networks
E Anthi, L Williams, A Javed, P Burnap
computers & security 108, 102352, 2021
112021
Comparing the utility of different classification schemes for emotive language analysis
L Williams, M Arribas-Ayllon, A Artemiou, I Spasić
Journal of Classification 36 (3), 619-648, 2019
82019
G. eodorakopoulos, and P
E Anthi, L Williams, M Slowinska
Burnap,“A supervised intrusion detection system for smart home iot devices …, 2019
62019
A three-tiered intrusion detection system for industrial control systems
E Anthi, L Williams, P Burnap, K Jones
Journal of Cybersecurity 7 (1), tyab006, 2021
52021
Pushing the envelope of sentiment analysis beyond words and polarities
L Williams
Cardiff University, 2017
2017
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