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Preventing misuse of discount promotions in e-commerce websites: an application of rule-based systems

Preventing misuse of discount promotions in e-commerce websites: an application of rule-based... E-commerce websites continue to get affected by fraudulent online activities in spite of the substantial efforts made by different stakeholders such as card issuers, banking intermediaries, merchants, and law enforcement agencies. First-time promotional discounts are offered by e-commerce websites for gaining and retaining new and existing customers. However, in several instances, such discounts are abused by fraudsters. Surprisingly, little attempt has been put in the past to detect such abuses. This study is the first attempt in this direction and uses transaction data of an e-commerce company to develop a rule-based detection system. The rules-based system is developed in two-stage processes, generation of facts and rules, respectively; and it is further validated by experts. An architecture of a rule-based fraud detection system is also proposed. Using rule-based detection system, the company can flag-off the probable abusers, and can subsequently monitor their behaviour and take decisive actions. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png International Journal of Services Operations and Informatics Inderscience Publishers

Preventing misuse of discount promotions in e-commerce websites: an application of rule-based systems

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Publisher
Inderscience Publishers
Copyright
Copyright © Inderscience Enterprises Ltd
ISSN
1741-539X
eISSN
1741-5403
DOI
10.1504/IJSOI.2021.114111
Publisher site
See Article on Publisher Site

Abstract

E-commerce websites continue to get affected by fraudulent online activities in spite of the substantial efforts made by different stakeholders such as card issuers, banking intermediaries, merchants, and law enforcement agencies. First-time promotional discounts are offered by e-commerce websites for gaining and retaining new and existing customers. However, in several instances, such discounts are abused by fraudsters. Surprisingly, little attempt has been put in the past to detect such abuses. This study is the first attempt in this direction and uses transaction data of an e-commerce company to develop a rule-based detection system. The rules-based system is developed in two-stage processes, generation of facts and rules, respectively; and it is further validated by experts. An architecture of a rule-based fraud detection system is also proposed. Using rule-based detection system, the company can flag-off the probable abusers, and can subsequently monitor their behaviour and take decisive actions.

Journal

International Journal of Services Operations and InformaticsInderscience Publishers

Published: Jan 1, 2021

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