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Uncovering Key Factors That Drive the Impressions of Online Emerging Technology Narratives
Social media platforms play a significant role in facilitating business decision making, especially in the context of emerging …
Lowri Williams, Eirini Anthi, Pete Burnap
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Uncovering Key Factors That Drive the Impressions of Online Emerging Technology Narratives
Social media platforms play a significant role in facilitating business decision making, especially in the context of emerging …
Lowri Williams, Eirini Anthi, Pete Burnap
Nov 5, 2024
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Investigating Radio Frequency Vulnerabilities in the Internet of Things (IoT)
With the increase in the adoption of Internet of Things (IoT) devices, the security threat they face has become more pervasive. Recent …
Eirini Anthi, Lowri Williams, Vasilis Ieropoulos, Theodoros Spyridopoulos
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Investigating Radio Frequency Vulnerabilities in the Internet of Things (IoT)
This paper explores security vulnerabilities that target RF communications on popular commercial IoT devices such as Wi-Fi, Zigbee, and …
Eirini Anthi, Lowri Williams, Vasilis Ieropoulos, Theodoros Spyridopoulos
Jun 6, 2024
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Mapping Automated Cyber Attack Intelligence to Context-based Impact on System-level Goals
Traditionally, cyber risk assessment considers system-level risk separately from individual component-level risk, i.e., devices, data, …
Pete Burnap, Eirini Anthi, Phillip Reinecke, Lowri Williams, Fengnian Cao, Rakan Aldmoura, Kevin Jones
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Mapping Automated Cyber Attack Intelligence to Context-based Impact on System-level Goals
In this paper, we present a Data Science approach, which involves using machine learning algorithms and statistical models to analyse …
Pete Burnap, Eirini Anthi, Phillip Reinecke, Lowri Williams, Fengnian Cao, Rakan Aldmoura, Kevin Jones
Jun 6, 2024
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Severity-oriented Multiclass Drone Flight Logs Anomaly Detection
The availability of log data recorded by computer-based systems such as operating system and network logs, makes it possible for the …
Swardiantara Silalahi, Tohari Ahmad, Hudan Studiawan, Eirini Anthi, Lowri Williams
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Topic Modelling: Going Beyond Token Outputs
Topic modelling is a text mining technique for identifying salient themes from a number of documents. The output is commonly a set of …
Lowri Williams, Eirini Anthi, Laura Arman, Pete Burnap
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A Scalable and Automated Framework for Tracking the likely Adoption of Emerging Technologies
While new technologies are expected to revolutionise and become game-changers in improving the efficiencies and practises of our daily …
Lowri Williams, Eirini Anthi, Pete Burnap
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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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