Dr Lowri Williams

(hi/ei)

BSc, FEHA, PhD

2026

• Jones, P. , Williams, L. and Anthi, E. 2026. The anatomy of an access control reader: a cybersecurity perspective. Journal of Cybersecurity 12 (1) tyag008. (10.1093/cybsec/tyag008)

2025

• Anthi, E. et al. 2025. The role of artificial intelligence in shaping intelligent motorways: opportunities, challenges, and real-world implementations. IEEE Transactions on Intelligent Transportation Systems 26 (11), pp.18325-18357. (10.1109/TITS.2025.3609972)
• Williams, L. and Burnap, P. 2025. The emotional landscape of technological innovation: a data driven case study of ChatGPT's launch. Informatics 12 (3) 58. (10.3390/informatics12030058)
• Silalahi, S. et al., 2025. Interpretable ordinal-aware with contrastive-enhanced anomaly severity detection on UAV flight log messages. IEEE Access 13 , pp.105361-105379. (10.1109/access.2025.3580056)
• Williams, L. , Khan, H. and Burnap, P. 2025. The evolution of digital security by design using temporal network analysis. Informatics 12 (1) 8. (10.3390/informatics12010008)

2024

• Williams, L. , Anthi, E. and Burnap, P. 2024. Uncovering key factors that drive the impressions of online emerging technology narratives. Information 15 (11) 706. (10.3390/info15110706)
• Anthi, E. et al. 2024. Investigating radio frequency vulnerabilities in the Internet of Things (IoT). IoT 5 (2), pp.356-380. (10.3390/iot5020018)
• Burnap, P. et al. 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)
• Silalahi, S. et al., 2024. Severity-oriented multiclass drone flight logs anomaly detection. IEEE Access 12 , pp.64252 - 64266. (10.1109/ACCESS.2024.3396926)
• Williams, L. et al. 2024. Topic modelling: Going beyond token outputs. Big Data and Cognitive Computing 8 (5) 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) 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. et al. 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. et al. 2021. Hardening machine learning Denial of Service (DoS) defences against adversarial attacks in IoT smart home networks. Computers and Security 108 102352. (10.1016/j.cose.2021.102352)
• Anthi, E. et al. 2021. Adversarial attacks on machine learning cybersecurity defences in industrial control systems. Journal of Information Security and Applications 58 102717. (10.1016/j.jisa.2020.102717)
• Anthi, E. et al. 2021. A three-tiered intrusion detection system for Industrial Control Systems (ICS). Journal of Cybersecurity 7 (1) 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

• Anthi, E. et al. 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)
• Williams, L. et al. 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)

2017

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

2015

• Williams, L. et al. 2015. The role of idioms in sentiment analysis. Expert Systems with Applications 42 (21), pp.7375-7385. (10.1016/j.eswa.2015.05.039)