Titlebook: ;

Focus-Words

FLIP

Cantankerous

Melanoma

Masquerade Detection on Mobile Devicesonsider the problem of masquerade detection on mobile devices. Specifically, we experiment with a variety of machine learning techniques to determine how accurately we can distinguish mobile users, based on various features. Here, our primary goal is to determine which techniques are most likely to

平項(xiàng)山

Identifying File Interaction Patterns in Ransomware Behaviourrent malware types is often resulting from criminal opportunity. The monetisation of ransomware, coupled with the continuous growing importance of user data, is resulting in ransomware becoming one of the most prominent forms of malware. Detecting and stopping a ransomware attack is challenging due

Postulate

A Framework for the Visualisation of Cyber Security Requirements and Its Application in BPMNen to be overlooked due to the lack of expertise and technical approach to capture and model these requirements in an effective way. It is not helped by the fact that many companies, especially SMEs, tend to focus on the functionality of their business processes first, before considering security as

MAOIS

弓箭

A Predictive Model for Risk and Trust Assessment in Cloud Computing: Taxonomy and Analysis for Attacve solution that could analyse each symptom, indicator, and vulnerability in order to detect the impact and likelihood of attacks directed at cloud computing environments. Therefore, possible implementation of the proposed framework might help to minimise false positive alarms, as well as to improve

Morsel

tattle