The abstract is as follows:
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This paper discusses the development of two real-time risk control systems to detect collective fraud committed by coordinated groups of accounts on online platforms. By utilizing TigerGraph, a graph database, and its query language GSQL, the authors demonstrate how data scientists and fraud experts can efficiently implement and deploy an end-to-end risk control system as a graph database application.
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The specific paragraph from the paper is:
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Detecting fraudulent activity is a never ending battle in the digital world. More and more merchants and financial organizations are targets for fraudsters and cybercriminals. Merchants and financial services organizations will spend $9.3 billion annually on fraud detection and prevention by 2022 (See [Ref.6 of ArXiv:2101.01898]). Global online payment fraud (also called CNP or “Card Not Present” fraud) alone will cost merchants $130 billion in just five years (from 2018 to 2023) (See [Ref.7 of ArXiv:2101.01898]). The latest report from LexisNexis (See [Ref.8 of ArXiv:2101.01898]) also indicates that fraud attempts have increased significantly among retailers and e-commerce merchants during the past year, with more than twice the number of attempts and an 85 percent increase in fraud success rates.
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Your task is to return a single question that accurately reflects the main fact or concept presented in the given paragraph. The question should be phrased in the format: "What is [key word]?" The key word should represent a concise academic term, devoid of any embellishment. You should only return the question without answer or analysis. Your answer should have exactly 6 paragraphs. Make sure that the last paragraph starts with the word "credit" and that each paragraph is separated by two new lines.
user