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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The issue with rules is that they tend to be outdated very quickly.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...
Reverse engineering as one of the most advanced tools of fraudsters

The anatomy of mobile ad fraud: Device Farms

Most anti-fraud solutions show too much information publicly and are easily reverse-engineered by fraudsters so they can emulate real users. Their Device Farms can fake post-install ...

Real-time app install ad fraud prevention: is it working?

The phrase “real-time” is widely used in the mobile ads' ecosystem. But in the app install ad fraud sphere, the phrase “real-time prevention” is just a fancy word without much meanin...

The Rise of Mobile App Install Ad Fraud. 2018 Outcomes

This report provides the mobile market data and app install fraud trends we observed in 2018
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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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