Online Fraud Prevention Blog

How to detect online fraud and multiple accounts,

New version of DupZapper combines machine learning and behaviour analysis to predict customers' behaviour by analysing players' betting activity, website and app usage patterns, payment and withdrawal preferences, detecting duplicate registrations along with other forms of collusion and advantage betting.

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How to detect online fraud and multiple accounts,

Detecting online fraud on e-commerce website is linked to its own risks and challenges. This article explains how to set up DupZapper to detect online fraud in e-commerce, online stores and other websites offering one-off purchases.

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How to detect online fraud and multiple accounts,

Most companies use human input for making decisions about detected fraud in one form or another. As the system is as good as worst of its components, manual part of the business process should be made as good as possible to detect most online fraud flawlessly. Another consideration here is to minimise management costs, and different process choices would offer different result too.

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How to detect online fraud and multiple accounts,

Technical means to detect signs of suspicious customer registrations are necessary step of building an effective process to prevent online fraud. However, it is just as important to treat collected technical data to achieve full operational efficiency that will let to prevent most of online fraud and minimise operations costs.

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How to detect online fraud and multiple accounts,

It is widely accepted that in many online industries customers who have multiple accounts are detrimental to the business and tend to be associated with online fraud and losses. At a minimum, they complicate customer relationship management, making it less efficient and more expensive. And it is increasingly common for such customers to conduct online fraud, ranging from cheating by collusion and bonus abuse to money laundering, using stolen credit cards and account takeover. Detecting them, however, requires to spend resources. This post focuses on finding out how to achieve optimal ROI from online fraud prevention activities.

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How to detect online fraud and multiple accounts,

This post discusses technical methods, including device identification, employed by DupZapper to detect online fraud and attempts of customers to conceal real identities or create multiple accounts.

In the previous post we’ve covered how to detect and prevent fraud in online gaming and other online industries by looking at the common types of fraud and multiple accounts being a tell-tale sign of the most. In this, specific technical methods employed by DupZapper to fight fraud by detecting customers with multiple accounts and attempts to prevent detection are reviewed.

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How to detect online fraud and multiple accounts,

Of many industries where DupZapper is used, online gaming has always been a special one. This industry has the most precipitous negative impact of customers with multiple or false identities. Whether it is a money laundering attempt, account takeover, collusion, abusing bonus offerings or a case of a skilled player or cheater, they all are usually perpetrated using false identities. DupZapper helps to detect and prevent fraud associated with false identities and multiple accounts.

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How to detect online fraud and multiple accounts,

DupZapper uses sophisticated machine learning techniques to process various technical data it collects and presents groups of accounts created and maintained by the same person together in a form simple to understand. Here's how.

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How to detect online fraud and multiple accounts,

It has been found out previously that its much more common for unrelated mobile devices of the same model to have exactly same fingerprint than for desktop devices. This happens because mobile browsers are sandboxed and there are not enough variables to reliably fingerprint the device.

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How to detect online fraud and multiple accounts,

Following the feedback received, a change DupZapper went live in September 2014. It is designed to reduce number of false positives, giving more time to investigate accounts that are more likely to carry out malicious activities.

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