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The anatomy of mobile ad fraud: Mixed Fraud

In 2019 the level of fraudsters’ sophistication increased dramatically: they have learned to blend together different techniques and manipulate the system by imitating real user beha...

True Machine Learning is the Strongest Weapon to Fight App Install Ad Fraud - A Fireside Chat with Draftkings. MAU 2019

Don’t let fraud dictate your user acquisition strategy. Learn why a manual, rules-based approach to fraud detection pales in comparison to an advanced machine learning based approach
The issue with rules is that they tend to be outdated very quickly. Fraudsters are able to reverse-engineer them very quickly and you are not protected let alone from any sophisticat...

What are the “Mixes” and how to identify this type of app install fraud

The general principle of “mixes” grounds on the conscious use of several various types of fraud to get over the known protection measures of fraud detection tools

Mobile fraud is big business: here’s how game developers are fighting back

Gaming advertisers often have significant marketing budgets at their disposal, making the mobile gaming industry particularly interesting and attractive to fraudsters

The one thing that moves user acquisition the wrong way

Mobile app install fraud was a hot topic one year ago and still is the same, being that thing that moves user acquisition the wrong way
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Why Mobile Advertisers Should Push For Machine Learning-Based Fraud Detection

The only solution for mobile advertisers is to partner with anti-fraud tools that make use of powerful and intelligent technologies such as machine...

Scalarr and the Future of Fraud Detection: Q&A with Scalarr Founders Inna Ushakova and Yuriy Yashunin

The road to Scalarr's foundation was paved with challenges and opportunities and in this in-depth conversation, you'll learn the story of Scalarr f...

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