Detection and Prevention of Fraud in the Digital Era

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Author(s): Evrim Vildan Altuk (Trakya University, Turkey)
Copyright: 2021
Pages: 12
Source title: Machine Learning Applications for Accounting Disclosure and Fraud Detection
Source Author(s)/Editor(s): Stylianos Papadakis (Hellenic Mediterranean University, Greece), Alexandros Garefalakis (Hellenic Mediterranean University, Greece), Christos Lemonakis (Hellenic Mediterranean University, Greece), Christiana Chimonaki (University οf Portsmouth, UK)and Constantin Zopounidis (School of Production Engineering and Management, Technical University of Crete, Greece & Audencia Business School, France)
DOI: 10.4018/978-1-7998-4805-9.ch009

Keywords: Accounting and Finance / Business Science Reference / Knowledge Management and Library Science / Machine Learning

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Abstract

It is essential for businesses to keep up with the technological advances. Today nearly all the businesses depend on computer technologies and the Internet to operate as technological developments have introduced many practical methods for businesses. Yet, transformation of businesses technologically also presents new means for the criminals, which has led to new types of fraud. It is crucial for businesses to take measures to prevent fraud. Traditional methods to prevent or to detect fraud seems to be ineffective for new types of fraud in the digital era. Therefore, new methods have been used to prevent and detect fraud. This chapter reviews fraud as a form of cybercrime in the digital era and aims to introduce the methods that have been used to detect and prevent it.

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Detection and Prevention of Fraud in the Digital Era

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