We examine the research opportunities for the use of 'big data'in accounting and finance.
The purpose of the study is to present a snapshot of big data academic research in …

The objective of this study is to identify the financial statement fraud factors and rank the
relative importance. First, this study reviews the previous studies to identify the possible …

Machine Learning (ML) represents a pivotal technology for current and future information
systems, and many domains already leverage the capabilities of ML. However, deployment …

Efforts to understand what goes on in the mind of an insider have taken a back seat to
developing technical controls, yet insider threat incidents persist. We examine insider threat …

" This is a book that I am going to have to own, and will work to find contexts in which to
recommend. It cuts obliquely through so many important domains of evidence and …

The challenges of preventing, detecting, and responding to data leakage propagated by
authorized users, or insider threats, are among the most difficult facing security researchers …

Cybersecurity has become a very hot topic due to high profile breaches that occurred in the
past years. Despite the implementation of current known pre-emptive methods such as …

One of the problems with insider threat research is the lack of a complete 360° view of an
insider threat dataset due to inadequate experimental design. This has prevented us from …

Financial statement fraud detection is a significant topic and a challenging task related to
countless applications such as financial sectors, insurance, government agencies, law …

“Insiders” remain a significant threat to organizations—evidenced by recent cases involving
Robert Hansen, Bradley Manning, and Edward Snowden—even in light of significant …