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Social media platforms play a significant role in facilitating business decision making, especially in the context of emerging …

This paper presents a data-driven framework to identify and quantify the influence of such features on the visibility and impact of …

With the increase in the adoption of Internet of Things (IoT) devices, the security threat they face has become more pervasive. Recent …

This paper explores security vulnerabilities that target RF communications on popular commercial IoT devices such as Wi-Fi, Zigbee, and …

Traditionally, cyber risk assessment considers system-level risk separately from individual component-level risk, i.e., devices, data, …

In this paper, we present a Data Science approach, which involves using machine learning algorithms and statistical models to analyse …

The availability of log data recorded by computer-based systems such as operating system and network logs, makes it possible for the …

Topic modelling is a text mining technique for identifying salient themes from a number of documents. The output is commonly a set of …

While new technologies are expected to revolutionise and become game-changers in improving the efficiencies and practises of our daily …

This paper provides a comparative investigation into how methods used in hierarchical classification problems in other domains, which …