Outputs (4)

An Ensemble Modelling of Feature Engineering and Predictions for Enhanced Fake News Detection (2024)
Presentation / Conference Contribution
Asowo, P., Lal, S., & Ani, U. (2024, December). An Ensemble Modelling of Feature Engineering and Predictions for Enhanced Fake News Detection. Presented at AI-2024 Forty-fourth SGAI International Conference on Artificial Intelligence, CAMBRIDGE, ENGLAND

The threat of fake news jeopardizing the credibility of online
news platforms, particularly on social media, underscores the need for innovative solutions. This paper proposes a creative engine for detecting fake news, leveraging advanced machine le... Read More about An Ensemble Modelling of Feature Engineering and Predictions for Enhanced Fake News Detection.

Minimising cybersecurity risk exposures in industrial control system environments: a techno-human vulnerability analysis approach (2024)
Journal Article
Ani, U. D., Watson, J., He, H., Radanliev, P., & Epiphaniou, G. (in press). Minimising cybersecurity risk exposures in industrial control system environments: a techno-human vulnerability analysis approach. Journal of Cyber Security Technology, 1-40. https://doi.org/10.1080/23742917.2024.2421589

Organisations operating IoT-enabled industrial control systems (ICSs) are concerned about growing cybersecurity risks and impacts to their systems. Cyber-attacks on ICSs demonstrate that technology alone is neither a problem nor a solution to the gro... Read More about Minimising cybersecurity risk exposures in industrial control system environments: a techno-human vulnerability analysis approach.

AI security and cyber risk in IoT systems (2024)
Journal Article
Radanliev, P., De Roure, D., Maple, C., Nurse, J. R. C., Nicolescu, R., & Ani, U. (in press). AI security and cyber risk in IoT systems. Frontiers in Big Data, 7, Article 1402745. https://doi.org/10.3389/fdata.2024.1402745

Internet-of-Things (IoT) refers to low-memory connected devices used in various new technologies, including drones, autonomous machines, and robotics. The article aims to understand better cyber risks in low-memory devices and the challenges in IoT r... Read More about AI security and cyber risk in IoT systems.

Taxonomy of Emerging Security Risks in Digital Railway (2024)
Presentation / Conference Contribution
Al-Mhiqani, M., Ani, U., Watson, J., & He, H. (2023, July). Taxonomy of Emerging Security Risks in Digital Railway. Presented at CYBER SCIENCE 2023, University of Aalborg, Copenhagen, Denmark

The railway industry has embraced digitisation and interconnectivity by introducing Information and Communication Technologies into traditional operational technology infrastructure. This convergence has brought numerous advantages, including improve... Read More about Taxonomy of Emerging Security Risks in Digital Railway.