Abstract Bayesian Networks (BNs) are an increasingly popular modelling technique in cyber
security especially due to their capability to overcome data limitations. This is also …

Insider threat has been recognized by both scientific community and security professionals
as one of the gravest security hazards for private companies, institutions, and governmental …

This paper addresses the problem of recognizing shadows from monochromatic natural
images. Without chromatic information, shadow classification is very challenging because …

Insider threat is a significant security risk for organizations. In this paper, we attempt to
discover insider threat by identifying abnormal behavior in enterprise social and online …

A great deal of research has been devoted to the exploration and categorization of threats
posed from malicious attacks from current employees who are disgruntled with the …

Alphanumeric text entry is a challenge for Virtual Reality (VR) applications. VR enables new
capabilities, impossible in the real world, such as an unobstructed view of the keyboard …

Insider threats (IT) reflect a growing concern in security communities. Despite a rapid
increase in the number of papers examining IT, definitions, research methods, models, and …

The present study aimed to explore if the size of company an individual works for, age or
attitudes towards cyber security affected frequency to engage in risky online behaviours. A …

In many insider crimes, managers and other coworkers observed that the offenders had
exhibited signs of stress, disgruntlement, or other issues, but no alarms were raised. Barriers …

The act of conducting an insider attack carries with it cognitive and social challenges that
may affect an offender's day-to-day work behavior. We test this hypothesis by examining the …