Trends in online consumer fraud: A data science perspective
Soldner,Felix Kleinberg,Bennett Johnson,Shane
Soldner,Felix
Kleinberg,Bennett
Johnson,Shane
Abstract
Following the advent of the Internet, the interaction between sellers and consumers is increasingly shifting from a face-to-face towards an online environment. This chapter examines what online consumer fraud is, revisiting the definition and common fraud schemes. It reviews some of the current approaches non-governmental and commercial institutions take to detect and prevent online consumer fraud. The chapter discusses darknet markets – internet platforms that, amongst other things, sell both legal and illicit goods while providing anonymity – and how they facilitating online consumer fraud. It closes with a discussion of how methods from data science can be applied to support the detection and prevention of online consumer fraud. The dark web represents a small portion of the deep web, on which users and hosts are anonymized.
Description
Date
2022
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Journal ISSN
Volume Title
Publisher
Routledge
Research Projects
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Journal Issue
Keywords
Fraud, Commercial crimes
Citation
Soldner, F, Kleinberg, B & Johnson, S 2022, Trends in online consumer fraud : A data science perspective. in Y Hanoch & S Wood (eds), A fresh look at fraud : Theoretical and applied perspectives. 1 edn, Routledge, London.