Track: Modeling and Simulation

Abstract

E-Commerce has quickly become an essential facet of business transactions within the past decade as online platforms have paved the way towards convenient shopping that does not require the consumer to invest time and resources in traveling to the physical location of businesses. Along with the utilization of digital platforms to exchange goods, this also introduced the integration of digital payment methods such as e-wallets and credit cards. The use of fraud detection systems seeks to accurately filter and detect any malicious transactions that use unverified or illegitimate payment details. This paper aims to conduct a systematic literature review that will analyze collected academic papers from 2017 to 2021, which focus and relate to various deep learning techniques used in model creation. The findings from the systematic review will be used to develop and conceptualize a system that will utilize an efficient deep-learning method towards accurate fraud detection.