Dr Lowri Williams

(hi/ei)

2024

• Williams, L., Anthi, E. and Burnap, P. 2024. Uncovering key factors that drive the impressions of online emerging technology narratives. Information 15(11), article number: 706. (10.3390/info15110706)
• Burnap, P., Anthi, E., Reineckea, P., Williams, L., Caoa, F., Aldmoura, R. and Jones, K. 2024. Mapping automated cyber attack intelligence to context-based impact on system-level goals. Journal of Cybersecurity and Privacy 4(2), pp. 340-356. (10.3390/jcp4020017)
• Anthi, E., Williams, L., Ieropoulos, V. and Spyridopoulos, T. 2024. Investigating radio frequency vulnerabilities in the Internet of Things (IoT). IoT 5(2), pp. 356-380. (10.3390/iot5020018)
• Silalahi, S., Ahmad, T., Studiawan, H., Anthi, E. and Williams, L. 2024. Severity-oriented multiclass drone flight logs anomaly detection. IEEE Access 12, pp. 64252 - 64266. (10.1109/ACCESS.2024.3396926)
• Williams, L., Anthi, E., Arman, L. and Burnap, P. 2024. Topic modelling: Going beyond token outputs. Big Data and Cognitive Computing 8(5), article number: 44. (10.3390/bdcc8050044)
• Williams, L., Anthi, E. and Burnap, P. 2024. A scalable and automated framework for tracking the likely adoption of emerging technologies. Information 15(4), article number: 237. (10.3390/info15040237)
• Williams, L., Anthi, E. and Burnap, P. 2024. Comparing hierarchical approaches to enhance supervised emotive text classification. Big Data and Cognitive Computing 8(4) (10.3390/bdcc8040038)
• Williams, L., Anthi, E., Cherdantseva, Y. and Javed, A. 2024. Leveraging gamification and game-based learning in cybersecurity education: Engaging and inspiring non-cyber students. Journal of The Colloquium for Information Systems Security Education 11(1) (10.53735/cisse.v11i1.186)

2021

• Anthi, E., Williams, L., Javed, A. and Burnap, P. 2021. Hardening machine learning Denial of Service (DoS) defences against adversarial attacks in IoT smart home networks. Computers and Security 108, article number: 102352. (10.1016/j.cose.2021.102352)
• Anthi, E., Williams, L., Rhode, M., Burnap, P. and Wedgbury, A. 2021. Adversarial attacks on machine learning cybersecurity defences in industrial control systems. Journal of Information Security and Applications 58, article number: 102717. (10.1016/j.jisa.2020.102717)
• Anthi, E., Williams, L., Burnap, P. and Jones, K. 2021. A three-tiered intrusion detection system for Industrial Control Systems (ICS). Journal of Cybersecurity 7(1), article number: tyab006. (10.1093/cybsec/tyab006)

2020

• Spasic, I., Williams, L. and Buerki, A. 2020. Idiom–based features in sentiment analysis: cutting the Gordian knot. IEEE Transactions on Affective Computing 11(2) (10.1109/TAFFC.2017.2777842)

2019

• Williams, L., Arribas-Ayllon, M., Artemiou, A. and Spasic, I. 2019. Comparing the utility of different classification schemes for emotive language analysis. Journal of Classification 36(3), pp. 619-648. (10.1007/s00357-019-9307-0)
• Anthi, E., Williams, L., Malgorzata, S., Theodorakopoulos, G. and Burnap, P. 2019. A supervised intrusion detection system for smart home IoT devices. IEEE Internet of Things 6(5), pp. 9042-9053. (10.1109/JIOT.2019.2926365)

2017

• Williams, L. 2017. Pushing the envelope of sentiment analysis beyond words and polarities. PhD Thesis, Cardiff University.

2015

• Williams, L., Bannister, C., Arribas-Ayllon, M., Preece, A. and Spasic, I. 2015. The role of idioms in sentiment analysis. Expert Systems with Applications 42(21), pp. 7375-7385. (10.1016/j.eswa.2015.05.039)